The effectiveness of the proposed method was verified through experiments on a cooperative transportation task with two manipulators with force sensors.
An overall view of the experimental environment including two manipulator-type robots is shown in Fig. 4. Both robots are seven-axis manipulators named Panda ...
Cooperative Transport by Manipulators with Uncertainty ...
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Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning ... manipulator based on reinforcement learning. A general ...
Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning. Takumi Aotani, Taisuke Kobayashi. 1月 2024. BibTeX DOI. タイプ.
Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning. T Aotani, T Kobayashi. 2024 IEEE/SICE International Symposium ...
The range of the steering wheel manipulation is set to be adaptive to the scenario requirement. The vehicle's longitudinal dynamics is controlled by a.
Some studies have considered the whole-body kinematics of the mobile manipulator during co-manipulation or transportation tasks with reactive controller [35], ...
Nov 3, 2020 · ... manipulation skills. Uncertainty-aware Contact-safe Model-based Reinforcement Learning. 562 views · 4 years ago ...more. NAIST Robot Learning ...
Jun 23, 2021 · In this paper we propose a novel uncertainty-aware model-based RL (UA-MBRL) framework, and then implement and validate it in autonomous driving under various ...
Missing: Cooperative Transport Manipulators
“Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. ... Model-based Reinforcement Learning in Virtual ...