1 citations · 1 across the 3 of their papers we have counts for
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LLM-Foraging: Large Language Models for Decentralized Swarm Robot Foraging
Peihan Li, Joanna Gutierrez, Fabian Hernandez +2
Swarm foraging algorithms, such as the central-place foraging algorithm (CPFA), typically rely on offline parameter optimization using genetic algorithms (GA) or reinforcement lear…
Policy-Guided World Model Planning for Language-Conditioned Visual Navigation
Amirhosein Chahe, Lifeng Zhou
Navigating to a visually specified goal given natural language instructions remains a fundamental challenge in embodied AI. Existing approaches either rely on reactive policies tha…
LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus
Peihan Li, Lifeng Zhou
Large Language Models (LLMs) have advanced rapidly in recent years, demonstrating strong capabilities in problem comprehension and reasoning. Inspired by these developments, resear…
Large Language Models for Multi-Robot Systems: A Survey
Peihan Li, Zijian An, Shams Abrar +1
The rapid advancement of Large Language Models (LLMs) has opened new possibilities in Multi-Robot Systems (MRS), enabling enhanced communication, task allocation and planning, and…