International audienceIn this paper, we present a recursive method for the optimization of humanoid robot motions. The method is based on an efficient dynamics algorithm, which allows the calculation of the gradient function with respect to the control parameters analytically. The algorithm makes use of the theory of Lie groups and Lie algebra. The main objective of this method is to smooth the pre-calculated humanoid motions by minimizing the efforts, and at the same time improving the stability of the humanoid robot during the execution of the planned tasks. Experimental results using HRP-2 platform are provided to validate the proposed method
Designing and realizing artificial systems in human image have always been a fascinating idea for re...
under Constraints This thesis studies the question of whole body motion generation for anthro-pomorp...
International audienceIn this paper, we propose a solution to compute full-dynamic motions for a hum...
International audienceIn this paper, we present a recursive method for the optimization of humanoid ...
This paper presents new analytical methods, using techniques from the theory of Lie Groups and tools...
International audienceIn this paper, the imitation of human recorded motions by a humanoid robot is ...
Abstract-- In this paper, we present an optimization-based retargeting method for precise reproducti...
International audienceHierarchical least-square optimization is often used in robotics to inverse a ...
<p>This thesis presents an online approach for controlling humanoid robots using hierarchical optimi...
International audienceThis paper proposes a unified optimization framework to solve the time-paramet...
Abstract — The approximation of humanoid robot by an inverted pendulum is one of the most used model...
2018-07-26In this work, we explore computationally lightweight optimization-based methods for planni...
In this paper, we propose an effective planning method for whole-body motions of humanoid robots und...
It is an extremely complex process of controlling walking motion for humanoid robot, and its dynamic...
International audienceThis paper presents a computational approach for transferring principles of hu...
Designing and realizing artificial systems in human image have always been a fascinating idea for re...
under Constraints This thesis studies the question of whole body motion generation for anthro-pomorp...
International audienceIn this paper, we propose a solution to compute full-dynamic motions for a hum...
International audienceIn this paper, we present a recursive method for the optimization of humanoid ...
This paper presents new analytical methods, using techniques from the theory of Lie Groups and tools...
International audienceIn this paper, the imitation of human recorded motions by a humanoid robot is ...
Abstract-- In this paper, we present an optimization-based retargeting method for precise reproducti...
International audienceHierarchical least-square optimization is often used in robotics to inverse a ...
<p>This thesis presents an online approach for controlling humanoid robots using hierarchical optimi...
International audienceThis paper proposes a unified optimization framework to solve the time-paramet...
Abstract — The approximation of humanoid robot by an inverted pendulum is one of the most used model...
2018-07-26In this work, we explore computationally lightweight optimization-based methods for planni...
In this paper, we propose an effective planning method for whole-body motions of humanoid robots und...
It is an extremely complex process of controlling walking motion for humanoid robot, and its dynamic...
International audienceThis paper presents a computational approach for transferring principles of hu...
Designing and realizing artificial systems in human image have always been a fascinating idea for re...
under Constraints This thesis studies the question of whole body motion generation for anthro-pomorp...
International audienceIn this paper, we propose a solution to compute full-dynamic motions for a hum...