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First, we use the spring-damping elements to model and simulate the filling material. Then, based on deep reinforcement learning, a skill acquisition method is ...
First, we use the spring- damping elements to model and simulate the filling material. Then, based on deep reinforcement learning, a skill acquisition method is ...
A skill acquisition method based on deep reinforcement learning is proposed to solve the problems of uncertain factors in the final step of slabstone ...
Dec 1, 2019 · First, we use the spring-damping elements to model and simulate the filling material. Then, based on deep reinforcement learning, a skill ...
Oct 22, 2024 · Slabstone Installation Skill Acquisition for Dual-Arm Robot based on Reinforcement Learning. Conference Paper. Dec 2019. Dong Liu · Jianfu Cao ...
Apr 29, 2022 · The position/force in the installation process is controlled through impedance with reinforcement learning.
Neural network learning of robot arm impedance in operational space · Slabstone Installation Skill Acquisition for Dual-Arm Robot based on Reinforcement Learning.
Slabstone installation skill acquisition for dual-arm robot based on reinforcement learning. D Liu, J Cao, X Lei. 2019 IEEE International Conference on Robotics ...
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By continuously refining control policies based on rewards and analyzing their actions, RL can also help robots adjust to new situations and unforeseen challenges, making them more adaptable for real-world tasks.
Reinforcement learning (RL) is a machine learning (ML) technique that trains software to make decisions to achieve the most optimal results. It mimics the trial-and-error learning process that humans use to achieve their goals.
Author's Latest Publications. research-article. Slabstone Installation Skill Acquisition for Dual-Arm Robot based on Reinforcement Learning · Author Picture ...
TL;DR: A skill acquisition method based on deep reinforcement learning is proposed to solve the problems of uncertain factors in the final step of slabstone ...