collaborators

12 papers

cs.AI2026

Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics

Saman Ahmadi, Guido Tack, Daniel Harabor +2

The rapid adoption of electric vehicles (EVs) in modern transport systems has made energy-aware routing a critical task in their successful integration, especially within large-sca…

cs.AI2026

A Lightweight Traffic Map for Efficient Anytime LaCAM*

Bojie Shen, Yue Zhang, Zhe Chen +1

Multi-Agent Path Finding (MAPF) aims to compute collision-free paths for multiple agents and has a wide range of practical applications. LaCAM*, an anytime configuration-based solv…

cs.MA2025

CBS with Continuous-Time Revisit

Andy Li, Zhe Chen, Danial Harabor +1

Multi-Agent Path Finding in Continuous Time (\mapfr) extends the classical MAPF problem by allowing agents to operate in continuous time. Conflict-Based Search with Continuous Time…

cs.MA2025

Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery

Yue Zhang, Zhe Chen, Daniel Harabor +2

We study the problem of online Multi-Agent Pickup and Delivery (MAPD), where a team of agents must repeatedly serve dynamically appearing tasks on a shared map. Existing online met…

cs.MA2025

Real-Time LaCAM for Real-Time MAPF

Runzhe Liang, Rishi Veerapaneni, Daniel Harabor +2

The vast majority of Multi-Agent Path Finding (MAPF) methods with completeness guarantees require planning full-horizon paths. However, planning full-horizon paths can take too lon…

cs.AI2025

Online Submission and Evaluation System Design for Competition Operations

Zhe Chen, Daniel Harabor, Ryan Hechnenberger +1

Research communities have developed benchmark datasets across domains to compare the performance of algorithms and techniques However, tracking the progress in these research areas…