5 papers
Multi-Agent Pathfinding Under Team-Connected Communication Constraint via Adaptive Path Expansion and Dynamic Leading
Hoang-Dung Bui, Erion Plaku, Gregoy J. Stein
This paper proposes a novel planning framework to handle a multi-agent pathfinding problem under team-connected communication constraint, where all agents must have a connected com…
Evaluating Vision-Language Models as Evaluators in Path Planning
Mohamed Aghzal, Xiang Yue, Erion Plaku +1
Despite their promise to perform complex reasoning, large language models (LLMs) have been shown to have limited effectiveness in end-to-end planning. This has inspired an intrigui…
Combining Machine Learning and Sampling-Based Search for Multi-Goal Motion Planning with Dynamics
Yuanjie Lu, Erion Plaku
This paper considers multi-goal motion planning in unstructured, obstacle-rich environments where a robot is required to reach multiple regions while avoiding collisions. The plann…
Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning
Mohamed Aghzal, Erion Plaku, Ziyu Yao
Large language models (LLMs) have achieved remarkable success across a wide spectrum of tasks; however, they still face limitations in scenarios that demand long-term planning and…
A Survey on Large Language Models for Automated Planning
Mohamed Aghzal, Erion Plaku, Gregory J. Stein +1
The planning ability of Large Language Models (LLMs) has garnered increasing attention in recent years due to their remarkable capacity for multi-step reasoning and their ability t…