Systèmes de locomotion hybrides roues-pattes

Size: px
Start display at page:

Download "Systèmes de locomotion hybrides roues-pattes"

Transcription

1 Systèmes de locomotion hybrides roues-pattes ISIR UPMC Christophe Grand et Faïz Ben Amar 1/33

2 Plan 1. Introduction 2. Architecture mécatronique des robots Hylos 3. Modélisation cinémato-statique 4. Commande pour le contrôle de posture 5. Optimisation de la distribution des forces 2/33

3 Introduction Azimut [Laborius/2004] HyLoS I [UPMC / 2001] Hybtor [HUT / 2001] Athlete [JPL / 2004] HyLoS II [UPMC/2005] 3/33

4 Introduction Intérêt de la locomotion hybride roues-pattes 4/33

5 Introduction Les modes de locomotion Mode 1 : Roulement simple Mode 2 : Reconfiguration Mode 4 : Franchissement Mode 3 : Péristaltisme 5/33

6 Architecture Hylos 1 Caractéristiques du robot Masse 15 kg Dimensions 70x30x40 cm Garde au sol cm Vélocité 0.6 m/s ddl 16 Énergie Batterie (NiCd) 6/33

7 Architecture Hylos 1 Perception 1 Inclinomètre 2 axes roulis/tangage Potentiomètres articulations Codeurs optiques 4 capteurs d effort 3 axes Commande PC104 Bus CAN (1 Mbits/S) MPC555 7/33

8 Architecture mécatronique Masse 25 kg Dimensions 70 x 50 x 40 cm (L x l x h) 14 cm ( roue ) Variation de garde au sol Vitesse ddl la 10 cm à 40 cm 2 m/s 16 (4/patte) 8/33

9 Architecture mécatronique Masse 25 kg Dimensions 70 x 50 x 40 cm (L x l x h) 14 cm ( roue ) Variation de garde au sol Vitesse ddl la 10 cm à 40 cm 2 m/s 16 (4/patte) 9/33

10 Architecture mécatronique 10/33

11 Modélisation cinémato-statique Inertial frame: Main body frame: Transformation: Leg parameters: Wheel configuration: Global parameters: 11/33

12 Modélisation cinémato-statique Wheel-soil contact give a velocity constraint at contact point Pi for each contact (pseudo closed loop) : where is the velocity of Pi due to platform motion is the velocity of Pi due to legs motion is the circumferential velocity of the wheel The platform angular velocity: 12/33

13 Modélisation cinémato-statique Equations projected in each contact frame: For n contact points 3n scalar velocity constraints m joint velocities 13/33

14 Analyse de la mobilité Hypothesis: no sliding in the contact Hylos is a 4 wheel-legged robots with 4 dof for each one: n=4 and m = 16 correspond to 4x3 = 12 scalar equations 6 operational and 16 joint dof(s) 22 velocity parameters Mobility index = 10 14/33

15 Analyse de la mobilité with 15/33

16 Contrôle de posture Hypothesis: the steering angle velocity as limited effect on the instantaneous robot velocity Remove G in velocity equations ( ) and use non-holonomic conditions to solve 8 scalar equations 4 scalar equations 16/33

17 Contrôle de posture System redundancy: dof(s) 10 degrees 8 velocity constraints mobilities Operational space velocity x' 6 state parameters Internal parameters e 4 state parameters 17/33

18 Contrôle de posture J is a square 12x12 matrix and it is singular only for few identified cases: Joint velocities: State-feedback control law: 18/33

19 Contrôle de posture 19/33

20 Contrôle de posture Posture control Critical stability Tipover No control 3 dimensional pseudo-dynamic stability measure1 20/33

21 Contrôle de posture 21/33

22 Distribution des forces Objectifs Franchissement d'obstacle de type marche Utilisation des efforts internes pour optimiser la distribution des efforts de contact Maximiser les frottements de Coulomb Approche Analogie locomotion / préhension Optimisation sous la forme minimax 22/33

23 Distribution des forces 23/33

24 Distribution des forces where Jt f = f is the column vector of contacts forces F is the 6x1 vector of total wrench applied to the robot CoG pi is position vector of each contact point Pi G is the equivalent grasping matrix 24/33

25 Distribution des forces Stabilité des contacts f n 0 k 2 f 2n f 2t k k Approximation: 25/33

26 Distribution des forces Optimisation du franchissement : 26/33

27 Distribution des forces Efforts internes 27/33

28 Distribution des forces Optimisation des forces internes: 28/33

29 Distribution des forces Reconfiguration : position CdM 29/33

30 Distribution des forces Simulation 30/33

31 Distribution des forces 31/33

32 Distribution des forces 32/33

33 Distribution des forces Simulation 33/33

Mobile Robots Locomotion

Mobile Robots Locomotion Mobile Robots Locomotion Institute for Software Technology 1 Course Outline 1. Introduction to Mobile Robots 2. Locomotion 3. Sensors 4. Localization 5. Environment Modelling 6. Reactive Navigation 2 Today

More information

Stability control of a wheel-legged mini-rover

Stability control of a wheel-legged mini-rover Stability control of a wheel-legged mini-rover C. Grand, F. Ben Amar, F. Plumet and Ph. Bidaud Laboratoire de Robotique de Paris, Université de Paris VI 18, route du Panorama, 92265 Fontenay-Aux-Roses,

More information

Performance evaluation of locomotion modes of an hybrid wheel-legged robot for self-adaptation to ground conditions

Performance evaluation of locomotion modes of an hybrid wheel-legged robot for self-adaptation to ground conditions In Proceedings of the 8th ESA Workshop on Advanced Space Technologies for Robotics and Automation 'ASTRA 2004' ESTEC, Noordwijk, The Netherlands, November 2-4, 2004 Performance evaluation of locomotion

More information

Lecture «Robot Dynamics»: Kinematic Control

Lecture «Robot Dynamics»: Kinematic Control Lecture «Robot Dynamics»: Kinematic Control 151-0851-00 V lecture: CAB G11 Tuesday 10:15 12:00, every week exercise: HG E1.2 Wednesday 8:15 10:00, according to schedule (about every 2nd week) Marco Hutter,

More information

Robust obstacle crossing of a wheel-legged mobile robot using minimax force distribution and self-reconfiguration

Robust obstacle crossing of a wheel-legged mobile robot using minimax force distribution and self-reconfiguration 211 IEEE/RSJ International Conference on Intelligent Robots and Systems September 25-3, 211. San Francisco, CA, USA Robust obstacle crossing of a wheel-legged mobile robot using minimax force distribution

More information

Chapter 4 Dynamics. Part Constrained Kinematics and Dynamics. Mobile Robotics - Prof Alonzo Kelly, CMU RI

Chapter 4 Dynamics. Part Constrained Kinematics and Dynamics. Mobile Robotics - Prof Alonzo Kelly, CMU RI Chapter 4 Dynamics Part 2 4.3 Constrained Kinematics and Dynamics 1 Outline 4.3 Constrained Kinematics and Dynamics 4.3.1 Constraints of Disallowed Direction 4.3.2 Constraints of Rolling without Slipping

More information

10/11/07 1. Motion Control (wheeled robots) Representing Robot Position ( ) ( ) [ ] T

10/11/07 1. Motion Control (wheeled robots) Representing Robot Position ( ) ( ) [ ] T 3 3 Motion Control (wheeled robots) Introduction: Mobile Robot Kinematics Requirements for Motion Control Kinematic / dynamic model of the robot Model of the interaction between the wheel and the ground

More information

1. Introduction 1 2. Mathematical Representation of Robots

1. Introduction 1 2. Mathematical Representation of Robots 1. Introduction 1 1.1 Introduction 1 1.2 Brief History 1 1.3 Types of Robots 7 1.4 Technology of Robots 9 1.5 Basic Principles in Robotics 12 1.6 Notation 15 1.7 Symbolic Computation and Numerical Analysis

More information

A simulation system for behaviour evaluation of off-road mobile robots

A simulation system for behaviour evaluation of off-road mobile robots Proceedings of the CLAWAR 2001 conference 307 A simulation system for behaviour evaluation of off-road mobile robots C GRAND, F BEN AMAR and P BIDAUD Laboratoire de Robotique de Paris, Université de Paris

More information

CHAPTER 3 MATHEMATICAL MODEL

CHAPTER 3 MATHEMATICAL MODEL 38 CHAPTER 3 MATHEMATICAL MODEL 3.1 KINEMATIC MODEL 3.1.1 Introduction The kinematic model of a mobile robot, represented by a set of equations, allows estimation of the robot s evolution on its trajectory,

More information

Non Linear Control of Four Wheel Omnidirectional Mobile Robot: Modeling, Simulation and Real-Time Implementation

Non Linear Control of Four Wheel Omnidirectional Mobile Robot: Modeling, Simulation and Real-Time Implementation Non Linear Control of Four Wheel Omnidirectional Mobile Robot: Modeling, Simulation and Real-Time Implementation eer Alakshendra Research Scholar Robotics Lab Dr Shital S.Chiddarwar Supervisor Robotics

More information

1724. Mobile manipulators collision-free trajectory planning with regard to end-effector vibrations elimination

1724. Mobile manipulators collision-free trajectory planning with regard to end-effector vibrations elimination 1724. Mobile manipulators collision-free trajectory planning with regard to end-effector vibrations elimination Iwona Pajak 1, Grzegorz Pajak 2 University of Zielona Gora, Faculty of Mechanical Engineering,

More information

1498. End-effector vibrations reduction in trajectory tracking for mobile manipulator

1498. End-effector vibrations reduction in trajectory tracking for mobile manipulator 1498. End-effector vibrations reduction in trajectory tracking for mobile manipulator G. Pajak University of Zielona Gora, Faculty of Mechanical Engineering, Zielona Góra, Poland E-mail: g.pajak@iizp.uz.zgora.pl

More information

Parallel Robots. Mechanics and Control H AMID D. TAG HI RAD. CRC Press. Taylor & Francis Group. Taylor & Francis Croup, Boca Raton London NewYoric

Parallel Robots. Mechanics and Control H AMID D. TAG HI RAD. CRC Press. Taylor & Francis Group. Taylor & Francis Croup, Boca Raton London NewYoric Parallel Robots Mechanics and Control H AMID D TAG HI RAD CRC Press Taylor & Francis Group Boca Raton London NewYoric CRC Press Is an Imprint of the Taylor & Francis Croup, an informs business Contents

More information

Unit 2: Locomotion Kinematics of Wheeled Robots: Part 3

Unit 2: Locomotion Kinematics of Wheeled Robots: Part 3 Unit 2: Locomotion Kinematics of Wheeled Robots: Part 3 Computer Science 4766/6778 Department of Computer Science Memorial University of Newfoundland January 28, 2014 COMP 4766/6778 (MUN) Kinematics of

More information

Centre for Autonomous Systems

Centre for Autonomous Systems Robot Henrik I Centre for Autonomous Systems Kungl Tekniska Högskolan hic@kth.se 27th April 2005 Outline 1 duction 2 Kinematic and Constraints 3 Mobile Robot 4 Mobile Robot 5 Beyond Basic 6 Kinematic 7

More information

Serial Manipulator Statics. Robotics. Serial Manipulator Statics. Vladimír Smutný

Serial Manipulator Statics. Robotics. Serial Manipulator Statics. Vladimír Smutný Serial Manipulator Statics Robotics Serial Manipulator Statics Vladimír Smutný Center for Machine Perception Czech Institute for Informatics, Robotics, and Cybernetics (CIIRC) Czech Technical University

More information

Mobile Robotics. Marcello Restelli. Dipartimento di Elettronica e Informazione Politecnico di Milano tel:

Mobile Robotics. Marcello Restelli. Dipartimento di Elettronica e Informazione Politecnico di Milano   tel: Marcello Restelli Dipartimento di Elettronica e Informazione Politecnico di Milano email: restelli@elet.polimi.it tel: 02-2399-3470 Mobile Robotics Robotica for Computer Engineering students A.A. 2006/2007

More information

Jacobian: Velocities and Static Forces 1/4

Jacobian: Velocities and Static Forces 1/4 Jacobian: Velocities and Static Forces /4 Advanced Robotic - MAE 6D - Department of Mechanical & Aerospace Engineering - UCLA Kinematics Relations - Joint & Cartesian Spaces A robot is often used to manipulate

More information

EE565:Mobile Robotics Lecture 2

EE565:Mobile Robotics Lecture 2 EE565:Mobile Robotics Lecture 2 Welcome Dr. Ing. Ahmad Kamal Nasir Organization Lab Course Lab grading policy (40%) Attendance = 10 % In-Lab tasks = 30 % Lab assignment + viva = 60 % Make a group Either

More information

Chapter 2 Intelligent Behaviour Modelling and Control for Mobile Manipulators

Chapter 2 Intelligent Behaviour Modelling and Control for Mobile Manipulators Chapter Intelligent Behaviour Modelling and Control for Mobile Manipulators Ayssam Elkady, Mohammed Mohammed, Eslam Gebriel, and Tarek Sobh Abstract In the last several years, mobile manipulators have

More information

Kinematics, Kinematics Chains CS 685

Kinematics, Kinematics Chains CS 685 Kinematics, Kinematics Chains CS 685 Previously Representation of rigid body motion Two different interpretations - as transformations between different coord. frames - as operators acting on a rigid body

More information

Jacobian: Velocities and Static Forces 1/4

Jacobian: Velocities and Static Forces 1/4 Jacobian: Velocities and Static Forces /4 Models of Robot Manipulation - EE 54 - Department of Electrical Engineering - University of Washington Kinematics Relations - Joint & Cartesian Spaces A robot

More information

Experimental study of Redundant Snake Robot Based on Kinematic Model

Experimental study of Redundant Snake Robot Based on Kinematic Model 2007 IEEE International Conference on Robotics and Automation Roma, Italy, 10-14 April 2007 ThD7.5 Experimental study of Redundant Snake Robot Based on Kinematic Model Motoyasu Tanaka and Fumitoshi Matsuno

More information

Animation. Keyframe animation. CS4620/5620: Lecture 30. Rigid motion: the simplest deformation. Controlling shape for animation

Animation. Keyframe animation. CS4620/5620: Lecture 30. Rigid motion: the simplest deformation. Controlling shape for animation Keyframe animation CS4620/5620: Lecture 30 Animation Keyframing is the technique used for pose-to-pose animation User creates key poses just enough to indicate what the motion is supposed to be Interpolate

More information

CMPUT 412 Motion Control Wheeled robots. Csaba Szepesvári University of Alberta

CMPUT 412 Motion Control Wheeled robots. Csaba Szepesvári University of Alberta CMPUT 412 Motion Control Wheeled robots Csaba Szepesvári University of Alberta 1 Motion Control (wheeled robots) Requirements Kinematic/dynamic model of the robot Model of the interaction between the wheel

More information

Geometric Modeling of Parallel Robot and Simulation of 3-RRR Manipulator in Virtual Environment

Geometric Modeling of Parallel Robot and Simulation of 3-RRR Manipulator in Virtual Environment Geometric Modeling of Parallel Robot and Simulation of 3-RRR Manipulator in Virtual Environment Kamel BOUZGOU, Reda HANIFI EL HACHEMI AMAR, Zoubir AHMED-FOITIH Laboratory of Power Systems, Solar Energy

More information

Inverse Kinematics. Given a desired position (p) & orientation (R) of the end-effector

Inverse Kinematics. Given a desired position (p) & orientation (R) of the end-effector Inverse Kinematics Given a desired position (p) & orientation (R) of the end-effector q ( q, q, q ) 1 2 n Find the joint variables which can bring the robot the desired configuration z y x 1 The Inverse

More information

Table of Contents Introduction Historical Review of Robotic Orienting Devices Kinematic Position Analysis Instantaneous Kinematic Analysis

Table of Contents Introduction Historical Review of Robotic Orienting Devices Kinematic Position Analysis Instantaneous Kinematic Analysis Table of Contents 1 Introduction 1 1.1 Background in Robotics 1 1.2 Robot Mechanics 1 1.2.1 Manipulator Kinematics and Dynamics 2 1.3 Robot Architecture 4 1.4 Robotic Wrists 4 1.5 Origins of the Carpal

More information

Spacecraft Actuation Using CMGs and VSCMGs

Spacecraft Actuation Using CMGs and VSCMGs Spacecraft Actuation Using CMGs and VSCMGs Arjun Narayanan and Ravi N Banavar (ravi.banavar@gmail.com) 1 1 Systems and Control Engineering, IIT Bombay, India Research Symposium, ISRO-IISc Space Technology

More information

Adaptation of the geometric model of a 6 dof serial robot to the task space

Adaptation of the geometric model of a 6 dof serial robot to the task space Adaptation of the geometric model of a 6 dof serial robot to the task space J. Gutiérrez,a, H. Chanal,b, S. Durieux,c and E. Duc,d Université Clermont Auvergne, CNRS, SIGMA Clermont, Institut Pascal, F-

More information

11. Kinematic models of contact Mechanics of Manipulation

11. Kinematic models of contact Mechanics of Manipulation 11. Kinematic models of contact Mechanics of Manipulation Matt Mason matt.mason@cs.cmu.edu http://www.cs.cmu.edu/~mason Carnegie Mellon Lecture 11. Mechanics of Manipulation p.1 Lecture 11. Kinematic models

More information

Motion Control (wheeled robots)

Motion Control (wheeled robots) Motion Control (wheeled robots) Requirements for Motion Control Kinematic / dynamic model of the robot Model of the interaction between the wheel and the ground Definition of required motion -> speed control,

More information

Written exams of Robotics 2

Written exams of Robotics 2 Written exams of Robotics 2 http://www.diag.uniroma1.it/~deluca/rob2_en.html All materials are in English, unless indicated (oldies are in Year Date (mm.dd) Number of exercises Topics 2018 07.11 4 Inertia

More information

Table of Contents. Chapter 1. Modeling and Identification of Serial Robots... 1 Wisama KHALIL and Etienne DOMBRE

Table of Contents. Chapter 1. Modeling and Identification of Serial Robots... 1 Wisama KHALIL and Etienne DOMBRE Chapter 1. Modeling and Identification of Serial Robots.... 1 Wisama KHALIL and Etienne DOMBRE 1.1. Introduction... 1 1.2. Geometric modeling... 2 1.2.1. Geometric description... 2 1.2.2. Direct geometric

More information

Automatic Control Industrial robotics

Automatic Control Industrial robotics Automatic Control Industrial robotics Prof. Luca Bascetta (luca.bascetta@polimi.it) Politecnico di Milano Dipartimento di Elettronica, Informazione e Bioingegneria Prof. Luca Bascetta Industrial robots

More information

A sliding walk method for humanoid robots using ZMP feedback control

A sliding walk method for humanoid robots using ZMP feedback control A sliding walk method for humanoid robots using MP feedback control Satoki Tsuichihara, Masanao Koeda, Seiji Sugiyama, and Tsuneo oshikawa Abstract In this paper, we propose two methods for a highly stable

More information

COMP30019 Graphics and Interaction Kinematics

COMP30019 Graphics and Interaction Kinematics COMP30019 Graphics and Interaction Kinematics Department of Computing and Information Systems The Lecture outline Introduction Forward kinematics Inverse kinematics Kinematics I am robot (am I?) Forward

More information

Development of an optomechanical measurement system for dynamic stability analysis

Development of an optomechanical measurement system for dynamic stability analysis Development of an optomechanical measurement system for dynamic stability analysis Simone Pasinetti Dept. of Information Engineering (DII) University of Brescia Brescia, Italy simone.pasinetti@unibs.it

More information

Modeling the manipulator and flipper pose effects on tip over stability of a tracked mobile manipulator

Modeling the manipulator and flipper pose effects on tip over stability of a tracked mobile manipulator Modeling the manipulator and flipper pose effects on tip over stability of a tracked mobile manipulator Chioniso Dube Mobile Intelligent Autonomous Systems Council for Scientific and Industrial Research,

More information

Robotics (Kinematics) Winter 1393 Bonab University

Robotics (Kinematics) Winter 1393 Bonab University Robotics () Winter 1393 Bonab University : most basic study of how mechanical systems behave Introduction Need to understand the mechanical behavior for: Design Control Both: Manipulators, Mobile Robots

More information

Applications. Human and animal motion Robotics control Hair Plants Molecular motion

Applications. Human and animal motion Robotics control Hair Plants Molecular motion Multibody dynamics Applications Human and animal motion Robotics control Hair Plants Molecular motion Generalized coordinates Virtual work and generalized forces Lagrangian dynamics for mass points

More information

Lecture «Robot Dynamics»: Kinematics 3

Lecture «Robot Dynamics»: Kinematics 3 Lecture «Robot Dynamics»: Kinematics 3 151-0851-00 V lecture: CAB G11 Tuesday 10:15 12:00, every week exercise: HG E1.2 Wednesday 8:15 10:00, according to schedule (about every 2nd week) office hour: LEE

More information

MOTION TRAJECTORY PLANNING AND SIMULATION OF 6- DOF MANIPULATOR ARM ROBOT

MOTION TRAJECTORY PLANNING AND SIMULATION OF 6- DOF MANIPULATOR ARM ROBOT MOTION TRAJECTORY PLANNING AND SIMULATION OF 6- DOF MANIPULATOR ARM ROBOT Hongjun ZHU ABSTRACT:In order to better study the trajectory of robot motion, a motion trajectory planning and simulation based

More information

Chapter 3: Kinematics Locomotion. Ross Hatton and Howie Choset

Chapter 3: Kinematics Locomotion. Ross Hatton and Howie Choset Chapter 3: Kinematics Locomotion Ross Hatton and Howie Choset 1 (Fully/Under)Actuated Fully Actuated Control all of the DOFs of the system Controlling the joint angles completely specifies the configuration

More information

MTRX4700 Experimental Robotics

MTRX4700 Experimental Robotics MTRX 4700 : Experimental Robotics Lecture 2 Stefan B. Williams Slide 1 Course Outline Week Date Content Labs Due Dates 1 5 Mar Introduction, history & philosophy of robotics 2 12 Mar Robot kinematics &

More information

Kinematic Control of Wheeled Mobile Manipulators

Kinematic Control of Wheeled Mobile Manipulators Kinematic Control of Wheeled Mobile Manipulators B. Bayle, J.-Y. Fourquet, F. Lamiraux and M. Renaud LAAS-CNRS, Toulouse, France, ENIT, Tarbes, France Abstract We propose a generic scheme to solve the

More information

Constraint and velocity analysis of mechanisms

Constraint and velocity analysis of mechanisms Constraint and velocity analysis of mechanisms Matteo Zoppi Dimiter Zlatanov DIMEC University of Genoa Genoa, Italy Su S ZZ-2 Outline Generalities Constraint and mobility analysis Examples of geometric

More information

Jane Li. Assistant Professor Mechanical Engineering Department, Robotic Engineering Program Worcester Polytechnic Institute

Jane Li. Assistant Professor Mechanical Engineering Department, Robotic Engineering Program Worcester Polytechnic Institute Jane Li Assistant Professor Mechanical Engineering Department, Robotic Engineering Program Worcester Polytechnic Institute (3 pts) Compare the testing methods for testing path segment and finding first

More information

Quadruped Robots and Legged Locomotion

Quadruped Robots and Legged Locomotion Quadruped Robots and Legged Locomotion J. Zico Kolter Computer Science Department Stanford University Joint work with Pieter Abbeel, Andrew Ng Why legged robots? 1 Why Legged Robots? There is a need for

More information

LUMS Mine Detector Project

LUMS Mine Detector Project LUMS Mine Detector Project Using visual information to control a robot (Hutchinson et al. 1996). Vision may or may not be used in the feedback loop. Visual (image based) features such as points, lines

More information

A simple example. Assume we want to find the change in the rotation angles to get the end effector to G. Effect of changing s

A simple example. Assume we want to find the change in the rotation angles to get the end effector to G. Effect of changing s CENG 732 Computer Animation This week Inverse Kinematics (continued) Rigid Body Simulation Bodies in free fall Bodies in contact Spring 2006-2007 Week 5 Inverse Kinematics Physically Based Rigid Body Simulation

More information

Written exams of Robotics 1

Written exams of Robotics 1 Written exams of Robotics 1 http://www.diag.uniroma1.it/~deluca/rob1_en.php All materials are in English, unless indicated (oldies are in Year Date (mm.dd) Number of exercises Topics 2018 06.11 2 Planar

More information

MEM380 Applied Autonomous Robots Winter Robot Kinematics

MEM380 Applied Autonomous Robots Winter Robot Kinematics MEM38 Applied Autonomous obots Winter obot Kinematics Coordinate Transformations Motivation Ultimatel, we are interested in the motion of the robot with respect to a global or inertial navigation frame

More information

Homework 2 Questions? Animation, Motion Capture, & Inverse Kinematics. Velocity Interpolation. Handing Free Surface with MAC

Homework 2 Questions? Animation, Motion Capture, & Inverse Kinematics. Velocity Interpolation. Handing Free Surface with MAC Homework 2 Questions? Animation, Motion Capture, & Inverse Kinematics Velocity Interpolation Original image from Foster & Metaxas, 1996 In 2D: For each axis, find the 4 closest face velocity samples: Self-intersecting

More information

Introduction to Autonomous Mobile Robots

Introduction to Autonomous Mobile Robots Introduction to Autonomous Mobile Robots second edition Roland Siegwart, Illah R. Nourbakhsh, and Davide Scaramuzza The MIT Press Cambridge, Massachusetts London, England Contents Acknowledgments xiii

More information

Bearing only visual servo control of a non-holonomic mobile robot. Robert Mahony

Bearing only visual servo control of a non-holonomic mobile robot. Robert Mahony Bearing only visual servo control of a non-holonomic mobile robot. Robert Mahony Department of Engineering, Australian National University, Australia. email: Robert.Mahony@anu.edu.au url: http://engnet.anu.edu.au/depeople/robert.mahony/

More information

Lecture «Robot Dynamics»: Multi-body Kinematics

Lecture «Robot Dynamics»: Multi-body Kinematics Lecture «Robot Dynamics»: Multi-body Kinematics 151-0851-00 V lecture: CAB G11 Tuesday 10:15 12:00, every week exercise: HG E1.2 Wednesday 8:15 10:00, according to schedule (about every 2nd week) Marco

More information

THE KINEMATIC DESIGN OF A 3-DOF HYBRID MANIPULATOR

THE KINEMATIC DESIGN OF A 3-DOF HYBRID MANIPULATOR D. CHABLAT, P. WENGER, J. ANGELES* Institut de Recherche en Cybernétique de Nantes (IRCyN) 1, Rue de la Noë - BP 92101-44321 Nantes Cedex 3 - France Damien.Chablat@ircyn.ec-nantes.fr * McGill University,

More information

Hand. Desk 4. Panda research 5. Franka Control Interface (FCI) Robot Model Library. ROS support. 1 technical data is subject to change

Hand. Desk 4. Panda research 5. Franka Control Interface (FCI) Robot Model Library. ROS support. 1 technical data is subject to change TECHNICAL DATA 1, 2 Arm degrees of freedom 7 DOF payload 3 kg sensitivity joint torque sensors in all 7 axes maximum reach 855 mm joint position limits A1: -170/170, A2: -105/105, [ ] A3: -170/170, A4:

More information

Lecture «Robot Dynamics»: Kinematics 3

Lecture «Robot Dynamics»: Kinematics 3 Lecture «Robot Dynamics»: Kinematics 3 151-0851-00 V lecture: CAB G11 Tuesday 10:15 12:00, every week exercise: HG E1.2 Wednesday 8:15 10:00, according to schedule (about every 2nd week) Marco Hutter,

More information

Planning Stable Trajectory on Uneven Terrain based on Feasible Acceleration Count

Planning Stable Trajectory on Uneven Terrain based on Feasible Acceleration Count 2 5th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 2-5, 2 Planning Stable Trajectory on Uneven Terrain based on Feasible Acceleration Count

More information

A New Algorithm for Measuring and Optimizing the Manipulability Index

A New Algorithm for Measuring and Optimizing the Manipulability Index DOI 10.1007/s10846-009-9388-9 A New Algorithm for Measuring and Optimizing the Manipulability Index Ayssam Yehia Elkady Mohammed Mohammed Tarek Sobh Received: 16 September 2009 / Accepted: 27 October 2009

More information

Introduction to Robotics

Introduction to Robotics Introduction to Robotics Ph.D. Antonio Marin-Hernandez Artificial Intelligence Department Universidad Veracruzana Sebastian Camacho # 5 Xalapa, Veracruz Robotics Action and Perception LAAS-CNRS 7, av du

More information

ROBOTICS 01PEEQW. Basilio Bona DAUIN Politecnico di Torino

ROBOTICS 01PEEQW. Basilio Bona DAUIN Politecnico di Torino ROBOTICS 01PEEQW Basilio Bona DAUIN Politecnico di Torino Control Part 4 Other control strategies These slides are devoted to two advanced control approaches, namely Operational space control Interaction

More information

An Interactive Software Environment for Gait Generation and Control Design of Sony Legged Robots

An Interactive Software Environment for Gait Generation and Control Design of Sony Legged Robots An Interactive Software Environment for Gait Generation and Control Design of Sony Legged Robots Dragos Golubovic and Huosheng Hu Department of Computer Science, University of Essex, Colchester CO4 3SQ,

More information

Jane Li. Assistant Professor Mechanical Engineering Department, Robotic Engineering Program Worcester Polytechnic Institute

Jane Li. Assistant Professor Mechanical Engineering Department, Robotic Engineering Program Worcester Polytechnic Institute Jane Li Assistant Professor Mechanical Engineering Department, Robotic Engineering Program Worcester Polytechnic Institute What are the DH parameters for describing the relative pose of the two frames?

More information

A NOUVELLE MOTION STATE-FEEDBACK CONTROL SCHEME FOR RIGID ROBOTIC MANIPULATORS

A NOUVELLE MOTION STATE-FEEDBACK CONTROL SCHEME FOR RIGID ROBOTIC MANIPULATORS A NOUVELLE MOTION STATE-FEEDBACK CONTROL SCHEME FOR RIGID ROBOTIC MANIPULATORS Ahmad Manasra, 135037@ppu.edu.ps Department of Mechanical Engineering, Palestine Polytechnic University, Hebron, Palestine

More information

Control of industrial robots. Kinematic redundancy

Control of industrial robots. Kinematic redundancy Control of industrial robots Kinematic redundancy Prof. Paolo Rocco (paolo.rocco@polimi.it) Politecnico di Milano Dipartimento di Elettronica, Informazione e Bioingegneria Kinematic redundancy Direct kinematics

More information

Autonomous and Mobile Robotics Prof. Giuseppe Oriolo. Humanoid Robots 2: Dynamic Modeling

Autonomous and Mobile Robotics Prof. Giuseppe Oriolo. Humanoid Robots 2: Dynamic Modeling Autonomous and Mobile Robotics rof. Giuseppe Oriolo Humanoid Robots 2: Dynamic Modeling modeling multi-body free floating complete model m j I j R j ω j f c j O z y x p ZM conceptual models for walking/balancing

More information

Fundamental problems in mobile robotics

Fundamental problems in mobile robotics ROBOTICS 01PEEQW Basilio Bona DAUIN Politecnico di Torino Mobile & Service Robotics Kinematics Fundamental problems in mobile robotics Locomotion: how the robot moves in the environment Perception: how

More information

MECHANICAL ENGINEERING

MECHANICAL ENGINEERING MECHANICAL ENGINEERING ESE TOPICWISE OBJECTIVE SOLVED PAPER-II FROM (1995-2018) UPSC Engineering Services Examination State Engineering Service Examination & Public Sector Examination. IES MASTER PUBLICATION

More information

Robotics. SAAST Robotics Robot Arms

Robotics. SAAST Robotics Robot Arms SAAST Robotics 008 Robot Arms Vijay Kumar Professor of Mechanical Engineering and Applied Mechanics and Professor of Computer and Information Science University of Pennsylvania Topics Types of robot arms

More information

Control of Snake Like Robot for Locomotion and Manipulation

Control of Snake Like Robot for Locomotion and Manipulation Control of Snake Like Robot for Locomotion and Manipulation MYamakita 1,, Takeshi Yamada 1 and Kenta Tanaka 1 1 Tokyo Institute of Technology, -1-1 Ohokayama, Meguro-ku, Tokyo, Japan, yamakita@ctrltitechacjp

More information

Mobile Robots Summery. Autonomous Mobile Robots

Mobile Robots Summery. Autonomous Mobile Robots Mobile Robots Summery Roland Siegwart Mike Bosse, Marco Hutter, Martin Rufli, Davide Scaramuzza, (Margarita Chli, Paul Furgale) Mobile Robots Summery 1 Introduction probabilistic map-based localization

More information

Cobots

Cobots Cobots http://cobot.com Michael Peshkin J. Edward Colgate Witaya Wannasuphoprasit ( Wit ) Intelligent Assist Devices IADs use computer control of motion to create functionality greater than that of conventional

More information

Chapter 1: Introduction

Chapter 1: Introduction Chapter 1: Introduction This dissertation will describe the mathematical modeling and development of an innovative, three degree-of-freedom robotic manipulator. The new device, which has been named the

More information

Robotics I. March 27, 2018

Robotics I. March 27, 2018 Robotics I March 27, 28 Exercise Consider the 5-dof spatial robot in Fig., having the third and fifth joints of the prismatic type while the others are revolute. z O x Figure : A 5-dof robot, with a RRPRP

More information

Dynamic Analysis of Manipulator Arm for 6-legged Robot

Dynamic Analysis of Manipulator Arm for 6-legged Robot American Journal of Mechanical Engineering, 2013, Vol. 1, No. 7, 365-369 Available online at http://pubs.sciepub.com/ajme/1/7/42 Science and Education Publishing DOI:10.12691/ajme-1-7-42 Dynamic Analysis

More information

A New Algorithm for Measuring and Optimizing the Manipulability Index

A New Algorithm for Measuring and Optimizing the Manipulability Index A New Algorithm for Measuring and Optimizing the Manipulability Index Mohammed Mohammed, Ayssam Elkady and Tarek Sobh School of Engineering, University of Bridgeport, USA. Mohammem@bridgeport.edu Abstract:

More information

Session #5 2D Mechanisms: Mobility, Kinematic Analysis & Synthesis

Session #5 2D Mechanisms: Mobility, Kinematic Analysis & Synthesis Session #5 2D Mechanisms: Mobility, Kinematic Analysis & Synthesis Courtesy of Design Simulation Technologies, Inc. Used with permission. Dan Frey Today s Agenda Collect assignment #2 Begin mechanisms

More information

Simulation. x i. x i+1. degrees of freedom equations of motion. Newtonian laws gravity. ground contact forces

Simulation. x i. x i+1. degrees of freedom equations of motion. Newtonian laws gravity. ground contact forces Dynamic Controllers Simulation x i Newtonian laws gravity ground contact forces x i+1. x degrees of freedom equations of motion Simulation + Control x i Newtonian laws gravity ground contact forces internal

More information

CS 231. Control for articulate rigid-body dynamic simulation. Articulated rigid-body dynamics

CS 231. Control for articulate rigid-body dynamic simulation. Articulated rigid-body dynamics CS 231 Control for articulate rigid-body dynamic simulation Articulated rigid-body dynamics F = ma No control 1 No control Ragdoll effects, joint limits RT Speed: many sims at real-time rates on today

More information

CS545 Contents IX. Inverse Kinematics. Reading Assignment for Next Class. Analytical Methods Iterative (Differential) Methods

CS545 Contents IX. Inverse Kinematics. Reading Assignment for Next Class. Analytical Methods Iterative (Differential) Methods CS545 Contents IX Inverse Kinematics Analytical Methods Iterative (Differential) Methods Geometric and Analytical Jacobian Jacobian Transpose Method Pseudo-Inverse Pseudo-Inverse with Optimization Extended

More information

A study of human locomotor trajectories

A study of human locomotor trajectories A study of human locomotor trajectories Phạm Quang Cường December, 29 Thèse réalisée sous la direction de P r Alain Berthoz, au Laboratoire de Physiologie de la Perception et de l Action Collège de France,

More information

Omnidirectional Drive Systems Kinematics and Control

Omnidirectional Drive Systems Kinematics and Control Omnidirectional Drive Systems Kinematics and Control Presented by: Andy Baker President, AndyMark, Inc., FRC 45 Ian Mackenzie Master s Student, Univ. of Waterloo, FRC 1114 2008 FIRST Robotics Conference

More information

Lecture 1 Wheeled Mobile Robots (WMRs)

Lecture 1 Wheeled Mobile Robots (WMRs) Lecture 1 Wheeled Mobile Robots (WMRs) Course Chair: Prof. M. De Cecco Teaching: A. Cesarini Mechatronics Department, University of Trento Email: andrea.cesarini@unitn.it http://www.miro.ing.unitn.it/

More information

APPLICATIONS AND CHALLENGES FOR UNDERWATER SWIMMING MANIPULATORS

APPLICATIONS AND CHALLENGES FOR UNDERWATER SWIMMING MANIPULATORS APPLICATIONS AND CHALLENGES FOR UNDERWATER SWIMMING MANIPULATORS Jørgen Sverdrup-Thygeson AMOS Days October 2017 Introduction NEEDS FOR SUBSEA INSPECTION, MAINTENANCE AND REPAIR The number of new subsea

More information

METR 4202: Advanced Control & Robotics

METR 4202: Advanced Control & Robotics Position & Orientation & State t home with Homogenous Transformations METR 4202: dvanced Control & Robotics Drs Surya Singh, Paul Pounds, and Hanna Kurniawati Lecture # 2 July 30, 2012 metr4202@itee.uq.edu.au

More information

Jacobians. 6.1 Linearized Kinematics. Y: = k2( e6)

Jacobians. 6.1 Linearized Kinematics. Y: = k2( e6) Jacobians 6.1 Linearized Kinematics In previous chapters we have seen how kinematics relates the joint angles to the position and orientation of the robot's endeffector. This means that, for a serial robot,

More information

Prof. Fanny Ficuciello Robotics for Bioengineering Trajectory planning

Prof. Fanny Ficuciello Robotics for Bioengineering Trajectory planning Trajectory planning to generate the reference inputs to the motion control system which ensures that the manipulator executes the planned trajectories path and trajectory joint space trajectories operational

More information

Development of H-M interface for generating motion of the 6 dof Fanuc 200iC robot in a virtual reality

Development of H-M interface for generating motion of the 6 dof Fanuc 200iC robot in a virtual reality Development of H-M interface for generating motion of the 6 dof Fanuc 2iC robot in a virtual reality BOUZGOU Kamel Laboratory of Power Systems, Solar Energy and Automation USTO.MB.Oran-Algeria bouzgou_kamel@hotmail.fr

More information

Prof. Fanny Ficuciello Robotics for Bioengineering Visual Servoing

Prof. Fanny Ficuciello Robotics for Bioengineering Visual Servoing Visual servoing vision allows a robotic system to obtain geometrical and qualitative information on the surrounding environment high level control motion planning (look-and-move visual grasping) low level

More information

Mobile Robot Kinematics

Mobile Robot Kinematics Mobile Robot Kinematics Dr. Kurtuluş Erinç Akdoğan kurtuluserinc@cankaya.edu.tr INTRODUCTION Kinematics is the most basic study of how mechanical systems behave required to design to control Manipulator

More information

Adaptive Control of 4-DoF Robot manipulator

Adaptive Control of 4-DoF Robot manipulator Adaptive Control of 4-DoF Robot manipulator Pavel Mironchyk p.mironchyk@yahoo.com arxiv:151.55v1 [cs.sy] Jan 15 Abstract In experimental robotics, researchers may face uncertainties in parameters of a

More information

Planning in Mobile Robotics

Planning in Mobile Robotics Planning in Mobile Robotics Part I. Miroslav Kulich Intelligent and Mobile Robotics Group Gerstner Laboratory for Intelligent Decision Making and Control Czech Technical University in Prague Tuesday 26/07/2011

More information

Solving Tracking Problem of a Nonholonomic Wheel Mobile Robot Using Backstepping Technique

Solving Tracking Problem of a Nonholonomic Wheel Mobile Robot Using Backstepping Technique Solving Tracking Problem of a Nonholonomic Wheel Mobile Robot Using Backstepping Technique Solving Tracking Problem of a Nonholonomic Wheel Mobile Robot Using Backstepping Technique Noor Asyikin binti

More information

Singularity Handling on Puma in Operational Space Formulation

Singularity Handling on Puma in Operational Space Formulation Singularity Handling on Puma in Operational Space Formulation Denny Oetomo, Marcelo Ang Jr. National University of Singapore Singapore d oetomo@yahoo.com mpeangh@nus.edu.sg Ser Yong Lim Gintic Institute

More information

PRACTICAL SESSION 4: FORWARD DYNAMICS. Arturo Gil Aparicio.

PRACTICAL SESSION 4: FORWARD DYNAMICS. Arturo Gil Aparicio. PRACTICAL SESSION 4: FORWARD DYNAMICS Arturo Gil Aparicio arturo.gil@umh.es OBJECTIVES After this practical session, the student should be able to: Simulate the movement of a simple mechanism using the

More information

This week. CENG 732 Computer Animation. Warping an Object. Warping an Object. 2D Grid Deformation. Warping an Object.

This week. CENG 732 Computer Animation. Warping an Object. Warping an Object. 2D Grid Deformation. Warping an Object. CENG 732 Computer Animation Spring 2006-2007 Week 4 Shape Deformation Animating Articulated Structures: Forward Kinematics/Inverse Kinematics This week Shape Deformation FFD: Free Form Deformation Hierarchical

More information