Adaptive slope locomotion with deep reinforcement learning
In this paper we present a model free Deep Reinforcement Learning based approach to the
motion planning problem of a quadruped moving from a flat to an inclined plane. In our …
motion planning problem of a quadruped moving from a flat to an inclined plane. In our …
LTO: lazy trajectory optimization with graph-search planning for high dof robots in cluttered environments
Although Trajectory Optimization (TO) is one of the most powerful motion planning tools, it
suffers from expensive computational complexity as a time horizon increases in cluttered …
suffers from expensive computational complexity as a time horizon increases in cluttered …
Proposal of walking to prevent a fall of a planetary exploration legged rover using effect of loose soil caused by a propagation of vibration
T Watanabe, K Iizuka - Journal of Artificial Intelligence and …, 2021 - ojs.istp-press.com
In this study, a walking method that prevents a fall of the planetary exploration-legged rover
is proposed. In the proposed walking method, the leg is sunk by giving vibration to the …
is proposed. In the proposed walking method, the leg is sunk by giving vibration to the …
[图书][B] Optimization-based Planning and Control for Robust and Dexterous Locomotion and Manipulation through Contact
Y Shirai - 2024 - search.proquest.com
Although robotic locomotion and manipulation have shown some remarkable progress in
the real world, the current locomotion and manipulation algorithms are inefficient in …
the real world, the current locomotion and manipulation algorithms are inefficient in …
Analysis of Motion Control for a Quadruped Ground-Gripping Robot for Minor Body Exploration on Uneven Terrain
The use of robotics has been growing to explore different types of severe environments,
such as disaster areas, regions affected by volcanic activities, and extraterrestrial bodies in …
such as disaster areas, regions affected by volcanic activities, and extraterrestrial bodies in …