most citedRDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains

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cs.RO2026

Proprioceptive Finger Force Estimation for Reliable Box Manipulation

Junha Cha, Chanwoo Kim, Kisang Park +5

Reliable box manipulation requires successful placement without damage, which depends on maintaining sufficient contact force without excessive loading. We hypothesize that per-fin…

cs.RO2025★ 1 cited

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains

Shady Nasrat, Myungsu Kim, Seonil Lee +3

Large language models (LLMs) represent a significant advancement in integrating physical robots with AI-driven systems. We showcase the capabilities of our framework within the con…