60 citations
- Colorado School of MinesUS4 papers
- Ericsson (United States)US2 papers
- Ames Research CenterUS1 paper
- Chinese University of Hong KongHK1 paper
- Delft University of TechnologyNL1 paper
- Eastern UniversityUS1 paper
- Escuela Superior Politecnica del LitoralEC1 paper
- Fudan UniversityCN1 paper
- Futurewei Technologies (United States)US1 paper
- Google (United States)US1 paper
- Imperial College LondonGB1 paper
- Institut National des Sciences Appliquées de LyonFR1 paper
4 papers · 1 filter
Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation
Lingfeng Tao, Jiucai Zhang, Qiaojie Zheng +1
Simulation to Real-World Transfer allows affordable and fast training of learning-based robots for manipulation tasks using Deep Reinforcement Learning methods. Currently, Sim2Real…
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,…
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…
Forming Real-World Human-Robot Cooperation for Tasks With General Goal
Lingfeng Tao, Michael Bowman, Jiucai Zhang +1
In human-robot cooperation, the robot cooperates with humans to accomplish the task together. Existing approaches assume the human has a specific goal during the cooperation, and t…