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통찰 - Tactile-based Reinforcement Learning
Sim2Real Transfer for Tactile-based Reinforcement Learning on Unknown Objects
Training tactile-based policies in simulation and transferring them to real-world scenarios improves object manipulation with diverse objects.
Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning
提案されたシステムは、シミュレーションで多様なオブジェクトを使用してRLポリシーを訓練し、実世界のロボットにゼロショットのSim2Real転送を行います。
