Physical AI aims to enable intelligent systems to perceive, reason, act, and learn through interaction with the physical world. Unlike purely digital intelligence, physical agents must operate under partial observability, uncertain dynamics, embodiment constraints, and real-time requirements, while their actions contin...
Bin Gao, Anuj Kumar Gautam, Aritra Bagchi et al.· 0 citations
Large language models (LLMs) have demonstrated significant potential in improving robotics applications through natural language processing capabilities. Matrix multiplication dominates the computational workload in these LLM-based robotics systems, and resistive random access memory (ReRAM) provides notable performanc...
Wen-Jing Xiao, Jianyu Wang, Dan Chen et al.· IEEE Transactions on Compute...· 0 citations
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