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

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

GestAdapt: Workspace-Conditioned Co-Speech Gesture Generation for Humanoid Robots

Bosong Ding, Xianglin Zhang, Miao Xin +2

Co-speech gestures for robots must adapt not only to speech and embodiment, but also to the workspace available for performing the motion. Since the same speech can be accompanied…

cs.CL2025

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Dongxu Zhang, Yujun Wu, Yiding Sun +5

While Chain-of-Thought (CoT) prompting empowers Large Language Models (LLMs), ensuring reasoning reliability remains an open challenge. Contrary to the prevailing cascading failure…

cs.LG2025

Uncertainty-aware Reward Design Process

Yang Yang, Xiaolu Zhou, Bosong Ding +1

Designing effective reward functions is a cornerstone of reinforcement learning (RL), yet it remains a challenging process due to the inefficiencies and inconsistencies inherent in…

cs.CV2024

BFRFormer: Transformer-based generator for Real-World Blind Face Restoration

Guojing Ge, Qi Song, Guibo Zhu +5

Blind face restoration is a challenging task due to the unknown and complex degradation. Although face prior-based methods and reference-based methods have recently demonstrated hi…

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…