2 citations · 3 across the 18 of their papers we have counts for
6 papers · 1 filter
Dream2Reward: Transition-Alignment Reward Models from Positive Demonstrations for Robotic Manipulation
Haoyu Zhang, Zecui Zeng, Bin Wang +3
Learning robotic policies requires dense rewards that remain informative when behavior departs from successful demonstrations. Progress-based rewards estimate how far an observatio…
Joint On-and-Off Policy Learning for Vision-and-Language Navigation
Qingrong He, Lin Zhao, Kevin Zheng +1
Vision-and-Language Navigation (VLN) necessitates an embodied agent to navigate in the physical world by adhering to natural language instructions. Recent advancements in Vision-La…
SHARE: Sharing Human Actions across Robot Embodiments through Unified Retargeting and Tracking
Haoyu Zhang, Junzhe Xu, Shibo Jin +8
The central challenge in reusing human actions across robots is the need to realize shared intent through incompatible kinematics, dynamics, and control interfaces. We present SHAR…
RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation
Kaidong Zhang, Rongtao Xu, Pengzhen Ren +4
Operating robots in open-ended scenarios with diverse tasks is a crucial research and application direction in robotics. While recent progress in natural language processing and la…
InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction
Pengzhen Ren, Min Li, Zhen Luo +15
Realizing scaling laws in embodied AI has become a focus. However, previous work has been scattered across diverse simulation platforms, with assets and models lacking unified inte…
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents
Zhiqiang Wang, Hao Zheng, Yunshuang Nie +11
Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitation…