3 papers
cs.RO2026
Embodied Skill Bench: Benchmarking How Well Agents with Embodied Skills Perform on Physical Tasks
Zhi Han, Zihan Guo, Chenxi Zeng +6
LLM agents increasingly control robots using VLA policies, perception models, and procedural knowledge. These modules are difficult to reuse because their interfaces, embodiment as…
cs.AI2026
SkillTV-Bench: Benchmarking How Well Judges Perform on Skill-Augmented Agentic Execution
Zhi Han, Chenxi Zeng, Liuhaichen Yang +3
LLM agents increasingly execute long-horizon tasks through tool use and environment interaction, shifting evaluation from final-response scoring to verification of complete executi…
cs.AI2026
Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration
Zihan Guo, Zeyi Chen, Zhiyu Chen +15
Existing autonomous research agents can support parts of the research process, but most systems still treat research as either an isolated assistant task or a closed workflow. Ther…