8 citations · 20 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman +1
In-hand manipulation is challenging for a multi-finger robotic hand due to its high degrees of freedom and the complex interaction with the object. To enable in-hand manipulation,…
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…
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum
Lingfeng Tao, Jiucai Zhang, Xiaoli Zhang
Dexterous manipulation tasks usually have multiple objectives, and the priorities of these objectives may vary at different phases of a manipulation task. Varying priority makes a…