4 papers
On-Device Robotic Planning: Eliminating Inference Redundancy for Efficient Decision-Making
Joonhee Lee, Hyunseung Shin, Hyunmi Kim +2
Reasoning-based robotic policies using large language and vision-language models achieve strong semantic planning capabilities but mostly suffer from a high inference latency that…
Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network
Qiming Ye, Peixian Zhang, Peixain Zhang +3
Agent-to-Agent (A2A) networks enable autonomous AI agents to collaborate by sharing reusable problem-solving instructions. However, how these decentralized ecosystems operate in pr…
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control
Pei Zhang, Zhaobo Hua, Jinliang Ding
The development of intelligent robots requires control policies that can handle dynamic environments and evolving tasks. Pre-training reinforcement learning has emerged as an effec…
Hierarchical learning control for autonomous robots inspired by central nervous system
Pei Zhang, Zhaobo Hua, Jinliang Ding
Mammals can generate autonomous behaviors in various complex environments through the coordination and interaction of activities at different levels of their central nervous system…