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    Modelling and stable walkinganalysis of 6 degrees of freedombiped robot

    Presented byGeo Jose, A P Sudheer

    Mechatronics/Robotics laboratory

    Dept. of Mechanical EnggNational institute of technology, Calicut

    E-mail: [email protected]

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    Introduction

    Assistance Replacement

    Automation Complete replacement

    Humanoids/Bipeds Non-anthropomorphic robots

    Redesign of human environment

    Biped compensated by larger

    foot size

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    Dynamically unstable

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    Objective

    Dynamic stability analysis of a 6 dof biped

    walking on a flat terrain based on ZMP

    criterion

    Design a foot which satisfies the locomotion

    requirements

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    Methodology

    Kinematic modelling Denavit-Hartenberg method

    Inverse kinematics Iterative method(Levenberg-Marquardt method)

    Dynamic modelling Newton-Euler algorithm

    Stability analysis Both in sagital and frontal plane based on ZMP

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    Biped model

    Y0,Y

    01

    Z0, Z01

    X0,X

    01

    l3

    l5l1

    l0

    l2 l4

    Z2

    X1

    Z1

    X2 X

    3

    Z3

    Z4

    Z6

    X4

    Z5?1

    ?2

    ?3

    ?4

    ?5

    ?6

    X5,X

    6

    Y0,Y

    01

    Z0, Z01

    X0,X

    01

    Y0,Y

    01

    Z0, Z01

    X0,X

    01

    l3

    l5l1

    l0

    l2 l4

    Z2

    X1

    Z1

    X2 X

    3

    Z3

    Z4

    Z6

    X4

    Z5?1

    ?2

    ?3

    ?4

    ?5

    ?6

    X5,X

    6

    l3

    l5l1

    l0

    l2 l4

    l1

    l0

    l2l2 l4l4

    Z2

    X1

    Z1

    X2 X

    3

    Z3

    Z4

    Z6

    X4

    Z5?1

    ?2

    ?3

    ?4

    ?5

    ?6

    X5,X

    6X

    5,X

    6

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    D-H modelling

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    Biped mass and dimensions

    Mass M0 M1 M2 M3

    Kg 0.068 0.115 0.115 0.080

    Link length l0 l1 l2 l3

    Meter 0.032 0.070 0.075 0.109

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    D-H table

    Link (radians) a(meter) d(meter) (radians)

    1 1 0.070 0 -/2

    2 2 0.075 0 0

    3 3 0 -0.109 0

    4 4 0.075 0 0

    5 5 0.070 0 /2

    6 6 0.032 0 0

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    Ai= i-1Ti=

    Ai=

    Where, i =1, 2,,6

    pose of end-effector with respect to base frame=0T6

    Where, 0T6 =0T1*

    1T2*.*5T6

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    Trajectory planning

    Cartesian space trajectory planning

    Cycloid function is used

    Step length of 0.2mis taken

    20 break points are taken on the trajectory

    Pose corresponding to each of these points is

    computed. (4x4 transformation matrix)

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    Inverse kinematics

    0T6= (4x4 pose matrix)

    6 equations and 6 unknowns;

    Non-linear simultaneous equations involvingtrigonometric functions makes the solution setmore complex

    Solution set is infinite4/22/2011 Dept. of Mechanical Engg, NITC 11

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    Inverse kinematic solution

    Algebraic, geometric and iterative methods

    Non-traditional search techniques such as

    Artificial Neural Networks(ANN), SimulatedAnnealing(SA)

    Levenberg-Marquardt algorithm is used to

    obtain solutions

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    Dynamicanalysis

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    During single support phase stance foot is

    assumed to remain in flat contact on the ground

    Impact is assumed to be perfectly inelastic

    All links are assumed to be slender with CoM

    (Centre of mass) and centeroid coinciding

    Force on swing leg is zero

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    Assumptions

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    Stability criteria-ZMP The zero moment point is the point through which a

    ground reaction force would need to pass in order tosatisfy dynamic equilibrium of the robot for a given

    motion Biped is stable if ZMP is within the support polygon

    created by the feet

    Then the ankles can transmit the resulting moment

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    ZMP cont...

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    ZMP cont...

    =0

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    Walking simulation

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    RESULTS

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    Results......

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    ZMP

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    Conclusion For a step length of 20cms ZMP will stay well

    with in a square foot having side 6cms

    Design torques for controller design for the

    proposed gait is computed

    Since infinite set of gaits are possible; Some

    optimisation technique is to be used to get an

    optimum foot size for a particular step length

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    References

    J. Angeles, Fundamentals of robotic mechanical systems:

    theory, methods, and algorithms. Springer Verlag, 2007.

    M. Raibert et al., Legged robots that balance. MIT press

    Cambridge, MA, 1986. F. Silva, T. Machado et al., Energy analysis during biped

    walking, Proceedings of 1999 IEEE International Conference

    on Robotics and Automation, vol. 1, IEEE, pp. 5964, 2002.

    Z. Tang, C. Zhou, and Z. Sun., Trajectory planning for smoothtransition of a biped robot, Proceedings of ICRA03 IEEE

    International Conference in Robotics and Automation, 2003,

    vol. 2, IEEE, 2003, pp. 24552460.

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    P. Vadakkepat and D. Goswami, Biped locomotion: stability,

    analysis and control, Robotica, vol. 27, no. 1, pp. 355365,2009.

    M. Vukobratovic and B. Borovac., Zero-moment point-thirty

    five years of its life, International Journal of Humanoid

    Robotics, vol. 1, no. 1, pp. 157173, 2004.

    T. Zielinska, C. Chew, P. Kryczka, and T. Jargilo., Robot gait

    synthesis using the scheme of human motions skills

    development, Mechanism and Machine Theory, vol. 44, no.

    3, pp. 541558, 2009.

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