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Journal ArticleDOI

Centroidal dynamics of a humanoid robot

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TLDR
This paper studies the properties, structure and computation schemes for the centroidal momentum matrix (CMM), which projects the generalized velocities of a humanoid robot to its spatial centroidAl momentum, and introduces the new concept of “average spatial velocity” of the humanoid that encompasses both linear and angular components and results in a novel decomposition of the kinetic energy.
Abstract
The center of mass (CoM) of a humanoid robot occupies a special place in its dynamics. As the location of its effective total mass, and consequently, the point of resultant action of gravity, the CoM is also the point where the robot's aggregate linear momentum and angular momentum are naturally defined. The overarching purpose of this paper is to refocus our attention to centroidal dynamics: the dynamics of a humanoid robot projected at its CoM. In this paper we specifically study the properties, structure and computation schemes for the centroidal momentum matrix (CMM), which projects the generalized velocities of a humanoid robot to its spatial centroidal momentum. Through a transformation diagram we graphically show the relationship between this matrix and the well-known joint-space inertia matrix. We also introduce the new concept of "average spatial velocity" of the humanoid that encompasses both linear and angular components and results in a novel decomposition of the kinetic energy. Further, we develop a very efficient $$O(N)$$ O ( N ) algorithm, expressed in a compact form using spatial notation, for computing the CMM, centroidal momentum, centroidal inertia, and average spatial velocity. Finally, as a practical use of centroidal dynamics we show that a momentum-based balance controller that directly employs the CMM can significantly reduce unnecessary trunk bending during balance maintenance against external disturbance.

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Proceedings ArticleDOI

Whole-body motion planning with centroidal dynamics and full kinematics

TL;DR: This paper treats the dynamics of the robot in centroidal form and directly optimizing the joint trajectories for the actuated degrees of freedom to arrive at a method that enjoys simpler dynamics, while still having the expressiveness required to handle kinematic constraints such as collision avoidance or reaching to a target.
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Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization

TL;DR: A single trajectory optimization formulation for legged locomotion that automatically determines the gait sequence, step timings, footholds, swing-leg motions, and six-dimensional body motion over nonflat terrain, without any additional modules is presented.
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Design of a Momentum-Based Control Framework and Application to the Humanoid Robot Atlas

TL;DR: A momentum-based control framework for floating-base robots and its application to the humanoid robot “Atlas” is presented and results for walking across rough terrain, basic manipulation, and multi-contact balancing on sloped surfaces are presented.
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High-speed bounding with the MIT Cheetah 2: Control design and experiments

TL;DR: The control framework is shown to provide stable bounding in the hardware, at speeds of up to 6.4 m/s and with a minimum total cost of transport of 0.47, unprecedented accomplishments in terms of efficiency and speed in untethered experimental quadruped machines.
Journal ArticleDOI

High-slope terrain locomotion for torque-controlled quadruped robots

TL;DR: Experimental results demonstrate that the 75-kg quadruped robot is able to walk inside two high-slope V-shaped walls; an achievement that to the authors’ best knowledge has never been presented before.
References
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BookDOI

Springer Handbook of Robotics

TL;DR: The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications.
Journal ArticleDOI

A unified approach for motion and force control of robot manipulators: The operational space formulation

TL;DR: A framework for the analysis and control of manipulator systems with respect to the dynamic behavior of their end-effectors is developed, and the unified approach for motion and force control is developed.
Book

Modeling and Control of Robot Manipulators

TL;DR: In this paper, the authors provide a guide to the foundations of robotics: modelling, mechanics and control, including kinematics, statics and dynamics of manipulators, and trajectory planning and motion control in free space.
Book

Rigid Body Dynamics Algorithms

TL;DR: Rigid Body Dynamics Algorithms presents the subject of computational rigid-body dynamics through the medium of spatial 6D vector notation to facilitate the implementation of dynamics algorithms on a computer: shorter, simpler code that is easier to write, understand and debug, with no loss of efficiency.
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