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Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach
Haoyang Wang, He Bai, Xiaoli Zhang +3
Dexterous telemanipulation is crucial in advancing human-robot systems, especially in tasks requiring precise and safe manipulation. However, it faces significant challenges due to…
Transferability-based Chain Motion Mapping from Humans to Humanoids for Teleoperation
Matthew Stanley, Yunsik Jung, Michael Bowman +2
Although data-driven motion mapping methods are promising to allow intuitive robot control and teleoperation that generate human-like robot movement, they normally require tedious…
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping
Yunsik Jung, Lingfeng Tao, Michael Bowman +2
Learning-based grasping can afford real-time grasp motion planning of multi-fingered robotics hands thanks to its high computational efficiency. However, learning-based methods are…