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cs.RO2026
VABAR: A Variational Automation Benchmark for Agentic Robotics
Shuangyu Xie, Kaiyuan Chen, Uksang Yoo +16
For robots to operate reliably in commercial and industrial applications, they must persistently perform specific tasks with known variations in object shape and pose. We call this…
cs.RO2026
AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning
Huihua Zhao, Rafael Cathomen, Lionel Gulich +6
Recent advances in reinforcement learning (RL) have enabled impressive humanoid behaviors in simulation, yet transferring these results to new robots remains challenging. In many r…