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Pr

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Computing the kinematics of a robot is a central concern in robotics for control ... Q: Articular coordinates (actuator control variables) ... – PowerPoint PPT presentation

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Title: Pr


1
Combining CP and Interval Methods for solving the
Direct Kinematic of a Parallel Robot under
Uncertainties
C. Grandón, D. Daney and Y. Papegay
COPRIN project at INRIA - Sophia Antipolis,
France.
IntCP06 Nantes - France, September 2006
2
Outline
  • Introduction
  • Kinematics of a Robot
  • Example of a 3-2-1 parallel manipulator
  • Problem Statement
  • Approaches
  • Formal algebraic evaluation
  • Numerical methods
  • Combination of both
  • Preliminary results
  • Conclusions and future works

3
Kinematics of a Robot
  • Computing the kinematics of a robot is a central
    concern in robotics for control
  • A kinematics model
  • X Generalized coordinates (position/orientation
    end effectors)
  • Q Articular coordinates (actuator control
    variables)
  • P Kinematics parameters (dimensional parameters)
  • Two important questions
  • If I know the values of Q and P Where is the
    robot end-effector?
  • If I want to bring the robot to a given position
    What values must I give to the control variables?

4
Kinematics of a Robot
  • Serial Robot
  • Direct kinematics
  • Closed form
  • Inverse kinematics
  • Solve a system
  • Parallel Robot
  • Inverse kinematics
  • Closed form
  • Direct kinematics
  • Solve a system

5
Kinematics of a 3-2-1 Parallel Robot
  • It is a specific version of a Gough Platform
    with interesting system of kinematics equations.
  • X coordinates of the three
    mobile attachment
    points
  • Q length of the legs
  • P Distance between base points,
    and distances between
    mobile points
  • Bounded Uncertainties
  • Design P, measurement Q

6
Problem Statement
  • Given a set of parameters with bounded
    uncertainties, to compute a certified
    approximation of the set of solutions
  • Interval Direct kinematics
  • Relationships

7
Approaches
  • Formal algebraic evaluation
  • Based on the work of Manolakis 1996, Thomas et
    al. 2005, and proposed in Ceccarelli et al. 1999,
    Ottaviano et al. 2002.
  • Using Trilateration in three sub-systems in
    cascade
  • How to handle uncertainties? -gt Interval
    evaluation

8
Approaches
  • Numerical methods and Constraint Programming
  • Based on Branch and Prune algorithms combining
    filtering, bisection and evaluation techniques.
  • Working in a 9-dimensional equation system
  • How to separate solutions?

9
New Approach
  • Combination of Formal and Numeric approaches
  • To Solve three square sub-system in cascade
  • To Apply filtering techniques in each phase
  • To combine with a special conditional bisection
    algorithm
  • To use a global filtering phase at the end
  • Example

10
Preliminary Results
  • Applying to CaTraSys (Cassino Tracking System)
  • Measuring system, conceived and designed at LARM
    (LAboratory of Robotics and Mechatronics) in
    Cassino

11
Preliminary Results
  • Algorithms
  • Algebraic only
  • Algebraic 2B
  • Algebraic 3B
  • Classic Solver
  • Computed results

12
Preliminary Results

13
Conclusions
  • We have presented an interval extension of the
    Direct Kinematics of a 3-2-1 parallel robot
  • Handle uncertainties in parameters
  • Obtaining certified solutions
  • Combination of formal (symbolic) and numeric
    solvers
  • Sharper approximations of the solutions
  • Keep information about different independent
    configurations
  • A current application in robotic has been
    reported.
  • Future Works?

14
Thank you for your attention
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