9 citations · 18 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
Multi-Goal Motion Memory
Yuanjie Lu, Dibyendu Das, Erion Plaku +1
Autonomous mobile robots (e.g., warehouse logistics robots) often need to traverse complex, obstacle-rich, and changing environments to reach multiple fixed goals (e.g., warehouse…
Look Further Ahead: Testing the Limits of GPT-4 in Path Planning
Mohamed Aghzal, Erion Plaku, Ziyu Yao
Large Language Models (LLMs) have shown impressive capabilities across a wide variety of tasks. However, they still face challenges with long-horizon planning. To study this, we pr…
Motion Memory: Leveraging Past Experiences to Accelerate Future Motion Planning
Dibyendu Das, Yuanjie Lu, Erion Plaku +1
When facing a new motion-planning problem, most motion planners solve it from scratch, e.g., via sampling and exploration or starting optimization from a straight-line path. Howeve…
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…
Guided Sampling-Based Motion Planning with Dynamics in Unknown Environments
Abhish Khanal, Hoang-Dung Bui, Gregory J. Stein +1
Despite recent progress improving the efficiency and quality of motion planning, planning collision-free and dynamically-feasible trajectories in partially-mapped environments rema…
ROMEO: A Plug-and-play Software Platform of Robotics-inspired Algorithms for Modeling Biomolecular Structures and Motions
Kevin Molloy, Erion Plaku, Amarda Shehu
Motivation: Due to the central role of protein structure in molecular recognition, great computational efforts are devoted to modeling protein structures and motions that mediate s…