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cs.RO2026
In-Context Learning for Robots: Methods and Applications
Haojian Huang, Zexi Li, Junhao Guo +36
General-purpose robots must infer what a new task requires and translate that understanding into appropriate physical action. In-context learning (ICL) for robots supports this pro…
cs.RO2026
MC-Risk: Multi-Component Risk Fields for Risk Identification and Motion Planning
Maximilian Link, Yingjie Xu, Yingbai Hu +1
We present MC-Risk, a planner-aligned, multi-component risk field on a bird's-eye-view grid that yields early, calibrated, and class-aware risk localization. MC-Risk linearly compo…