Executing a new strategy nearly always involves acquiring new resources and capabilities. Since firms can’t possibly get everything they need through internal development, it seems reasonable in ...
Abstract: Multi-agent path finding (MAPF) problem in warehouse automation consists of optimal task assignment and path planning, where small runtime is necessary. In this letter, we present a new MAPF ...
Abstract: Multi-Agent Path Finding (MAPF) focuses on navigating agents along cost-efficient and conflict-free paths. This letter investigates a challenging and practical MAPF variant, namely Robust ...
This repo maintains the code for the paper, which won the on the ICRA 2025 best paper on multi-robot systems and the best student paper. This work builds upon a critical idea, Collision-Shield PIBT, ...
This repository is the official implementation of Guidance Graph Optimization for Lifelong Multi-Agent Path Finding, accepted to IJCAI 2024. The repository builds on top of the repository of ...
AI impact on jobs: Entry-level roles are shrinking as AI takes over routine tasks, creating an experience gap for new graduates. Career clarity tools: Free aptitude and personality tests can reveal ...
I am fascinated about the idea of building intelligent systems that can help humans (and why not, other intelligent agents) on their daily tasks. This goal is ambitious, challenging, inspiring, and ...