most citedBeyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 1 cited

QUAR-VLA: Vision-Language-Action Model for Quadruped Robots

Pengxiang Ding, Han Zhao, Wenjie Zhang +5

The important manifestation of robot intelligence is the ability to naturally interact and autonomously make decisions. Traditional approaches to robot control often compartmentali…

cs.RO2023

Unlock Reliable Skill Inference for Quadruped Adaptive Behavior by Skill Graph

Hongyin Zhang, Diyuan Shi, Zifeng Zhuang +6

Developing robotic intelligent systems that can adapt quickly to unseen wild situations is one of the critical challenges in pursuing autonomous robotics. Although some impressive…

cs.LG2023★ 2 cited

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning

Jinxin Liu, Ziqi Zhang, Zhenyu Wei +4

Offline reinforcement learning (RL) aims to learn a policy using only pre-collected and fixed data. Although avoiding the time-consuming online interactions in RL, it poses challen…

cs.RO2023

BVIP Guiding System with Adaptability to Individual Differences

Yibo Zhou, Dongfei Cui, Xiangming Dong +3

Guiding robots can not only detect close-range obstacles like other guiding tools, but also extend its range to perceive the environment when making decisions. However, most existi…

cs.RO2022★ 1 cited

Few-shot Domain Adaptation for IMU Denoising

Feiyu Yao, Zongkai Wu, Zhenyu Wei +1

Different application scenarios will cause IMU to exhibit different error characteristics which will cause trouble to robot application. However, most data processing methods need…