activity
20192025
most citedSuphx: Mastering Mahjong with Deep Reinforcement Learning

83 citations · 181 across the 19 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.RO2024

WildLMa: Long Horizon Loco-Manipulation in the Wild

Ri-Zhao Qiu, Yuchen Song, Xuanbin Peng +8

'In-the-wild' mobile manipulation aims to deploy robots in diverse real-world environments, which requires the robot to (1) have skills that generalize across object configurations…

cs.RO2024

Visual Manipulation with Legs

Xialin He, Chengjing Yuan, Wenxuan Zhou +3

Animals use limbs for both locomotion and manipulation. We aim to equip quadruped robots with similar versatility. This work introduces a system that enables quadruped robots to in…

cs.RO2024★ 1 cited

ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation

Shiqi Yang, Minghuan Liu, Yuzhe Qin +6

Learning from demonstrations has shown to be an effective approach to robotic manipulation, especially with the recently collected large-scale robot data with teleoperation systems…

cs.RO2024★ 2 cited

Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning

Runyu Ding, Yuzhe Qin, Jiyue Zhu +5

Teleoperation is a crucial tool for collecting human demonstrations, but controlling robots with bimanual dexterous hands remains a challenge. Existing teleoperation systems strugg…

cs.CV2024★ 1 cited

SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

An-Chieh Cheng, Hongxu Yin, Yang Fu +5

Vision Language Models (VLMs) have demonstrated remarkable performance in 2D vision and language tasks. However, their ability to reason about spatial arrangements remains limited.…

cs.RO2024★ 2 cited

Expressive Whole-Body Control for Humanoid Robots

Xuxin Cheng, Yandong Ji, Junming Chen +3

Can we enable humanoid robots to generate rich, diverse, and expressive motions in the real world? We propose to learn a whole-body control policy on a human-sized robot to mimic h…

cs.RO2024★ 3 cited

Visual Whole-Body Control for Legged Loco-Manipulation

Minghuan Liu, Zixuan Chen, Xuxin Cheng +4

We study the problem of mobile manipulation using legged robots equipped with an arm, namely legged loco-manipulation. The robot legs, while usually utilized for mobility, offer an…

cs.RO2024★ 1 cited

Learning Generalizable Feature Fields for Mobile Manipulation

Ri-Zhao Qiu, Yafei Hu, Yuchen Song +8

An open problem in mobile manipulation is how to represent objects and scenes in a unified manner so that robots can use both for navigation and manipulation. The latter requires c…