activity
20152026
most citedAffordance-Driven Next-Best-View Planning for Robotic Grasping

6 citations · 37 across the 21 of their papers we have counts for

collaborators

21 papers

math.GN2026

A new method for constructing a compact and non SI-compact space

Zhengmao He, Bin Zhao

In this paper, we provide a new method for constructing a compact and non SI-compact space and thus give a new answer for the question posed by Zhao and Ho. Using this method, we f…

cs.RO2023★ 6 cited

Affordance-Driven Next-Best-View Planning for Robotic Grasping

Xuechao Zhang, Dong Wang, Sun Han +7

Grasping occluded objects in cluttered environments is an essential component in complex robotic manipulation tasks. In this paper, we introduce an AffordanCE-driven Next-Best-View…

cs.RO2023

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning

Jiyuan Shi, Chenjia Bai, Haoran He +6

The robustness of legged locomotion is crucial for quadrupedal robots in challenging terrains. Recently, Reinforcement Learning (RL) has shown promising results in legged locomotio…

cs.CV2023★ 1 cited

Disentangled Contrastive Image Translation for Nighttime Surveillance

Guanzhou Lan, Bin Zhao, Xuelong Li

Nighttime surveillance suffers from degradation due to poor illumination and arduous human annotations. It is challengable and remains a security risk at night. Existing methods re…

cs.LG2023

On the Value of Myopic Behavior in Policy Reuse

Kang Xu, Chenjia Bai, Shuang Qiu +5

Leveraging learned strategies in unfamiliar scenarios is fundamental to human intelligence. In reinforcement learning, rationally reusing the policies acquired from other tasks or…

cs.LG2023★ 3 cited

Behavior Contrastive Learning for Unsupervised Skill Discovery

Rushuai Yang, Chenjia Bai, Hongyi Guo +5

In reinforcement learning, unsupervised skill discovery aims to learn diverse skills without extrinsic rewards. Previous methods discover skills by maximizing the mutual informatio…