Search Results for author: Kai Yuan

Found 7 papers, 0 papers with code

Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations

no code implementations28 Sep 2021 Fernando Acero, Kai Yuan, Zhibin Li

To proactively navigate and traverse various terrains, active use of visual perception becomes indispensable.


Deep Pairwise Learning To Rank For Search Autocomplete

no code implementations11 Aug 2021 Kai Yuan, Da Kuang

Autocomplete (a. k. a "Query Auto-Completion", "AC") suggests full queries based on a prefix typed by customer.


Multi-expert learning of adaptive legged locomotion

no code implementations10 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.

Learning Pregrasp Manipulation of Objects from Ungraspable Poses

no code implementations15 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.


Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills

no code implementations11 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.


Learning Whole-body Motor Skills for Humanoids

no code implementations7 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.

Force-guided High-precision Grasping Control of Fragile and Deformable Objects using sEMG-based Force Prediction

no code implementations5 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.


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