no code implementations • 28 Sep 2021 • Fernando Acero, Kai Yuan, Zhibin Li
To proactively navigate and traverse various terrains, active use of visual perception becomes indispensable.
no code implementations • 11 Aug 2021 • Kai Yuan, Da Kuang
Autocomplete (a. k. a "Query Auto-Completion", "AC") suggests full queries based on a prefix typed by customer.
no code implementations • 10 Dec 2020 • Chuanyu Yang, Kai Yuan, Qiuguo Zhu, Wanming Yu, Zhibin Li
Achieving versatile robot locomotion requires motor skills which can adapt to previously unseen situations.
no code implementations • 15 Feb 2020 • Zhaole Sun, Kai Yuan, Wenbin Hu, Chuanyu Yang, Zhibin Li
In robotic grasping, objects are often occluded in ungraspable configurations such that no pregrasp pose can be found, eg large flat boxes on the table that can only be grasped from the side.
no code implementations • 11 Feb 2020 • Wenbin Hu, Chuanyu Yang, Kai Yuan, Zhibin Li
The performance of learned policy is evaluated on three different tasks: grasping a static target, grasping a dynamic target, and re-grasping.
no code implementations • 7 Feb 2020 • Chuanyu Yang, Kai Yuan, Wolfgang Merkt, Taku Komura, Sethu Vijayakumar, Zhibin Li
This paper presents a hierarchical framework for Deep Reinforcement Learning that acquires motor skills for a variety of push recovery and balancing behaviors, i. e., ankle, hip, foot tilting, and stepping strategies.
no code implementations • 5 Feb 2020 • Ruoshi Wen, Kai Yuan, Qiang Wang, Shuai Heng, Zhibin Li
Regulating contact forces with high precision is crucial for grasping and manipulating fragile or deformable objects.