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cs.RO2026
ADM-Planner: LLM-Guided Long-Horizon Planning for Mobile Manipulators with Attention-Enhanced Dynamic Memory
Jiaping Xiao, Pingyuan Ji, Mir Feroskhan
Large language models can decompose mobile-manipulation goals into long action sequences, but the resulting plans remain reliable only while their world context is current. A fixed…
cs.RO2026
Learning Adaptive Cross-Embodiment Visuomotor Policy with Contrastive Prompt Orchestration
Yuhang Zhang, Chao Yan, Jiaxi Yu +2
Learning adaptive visuomotor policies for embodied agents remains a formidable challenge, particularly when facing cross-embodiment variations such as diverse sensor configurations…