activity
20242026
most citedWe Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity

1 citations · 1 across the 12 of their papers we have counts for

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cs.RO2026

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment

XPolicyLab Community, Tianxing Chen, Yue Chen +67

Robot policy evaluation and deployment remain fragmented by model-specific software dependencies, data representations, and runtime interfaces, so that connecting N policies to M e…

cs.RO2026

Practice Makes Policies: Bootstrapping and Consolidating Robotic Capabilities from Zero Human Demonstrations

Jialiang Li, Yuhan Wang, Haojun Li +5

General-purpose robotic manipulation requires robots to perform diverse tasks in open-world environments while improving their skills over time. Despite recent progress in robotic…

cs.RO2026

dVLA-RL: Reinforcement Learning over Denoising Trajectories for Discrete Diffusion Vision-Language-Action Models

Yuhao Wu, Yitian Liu, Weijie Shen +13

Vision-Language-Action (VLA) models have established a powerful paradigm for generalist robotic manipulation by grounding control into the semantic reasoning of VLMs. Prevailing ar…

cs.RO2025

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis

Junting Chen, Haotian Liang, Lingxiao Du +8

The rapid progress of navigation, manipulation, and vision models has made mobile manipulators capable in many specialized tasks. However, the open-world mobile manipulation (OWMM)…

cs.RO2024★ 1 cited

We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity

Miao Xin, Zhongrui You, Zihan Zhang +7

We present SpaceAgents-1, a system for learning human and multi-robot collaboration (HMRC) strategies under microgravity conditions. Future space exploration requires humans to wor…