2 papers
cs.RO2025
T3 Planner: A Self-Correcting LLM Framework for Robotic Motion Planning with Temporal Logic
Jia Li, Guoxiang Zhao
Translating natural language instructions into executable motion plans is a fundamental challenge in robotics. Traditional approaches are typically constrained by their reliance on…
cs.RO2025
TERL: Large-Scale Multi-Target Encirclement Using Transformer-Enhanced Reinforcement Learning
Heng Zhang, Guoxiang Zhao, Xiaoqiang Ren
Pursuit-evasion (PE) problem is a critical challenge in multi-robot systems (MRS). While reinforcement learning (RL) has shown its promise in addressing PE tasks, research has prim…