activity
20192021
most citedRoadside-assisted Cooperative Planning using Future Path Sharing for Autonomous Driving

1 citations · 1 across the 2 of their papers we have counts for

collaborators

8 papers

cs.RO2021★ 1 cited

Roadside-assisted Cooperative Planning using Future Path Sharing for Autonomous Driving

Mai Hirata, Manabu Tsukada, Keisuke Okumura +3

Cooperative intelligent transportation systems (ITS) are used by autonomous vehicles to communicate with surrounding autonomous vehicles and roadside units (RSU). Current C-ITS app…

cs.MA2021

Offline Time-Independent Multi-Agent Path Planning

Keisuke Okumura, François Bonnet, Yasumasa Tamura +1

This paper studies a novel planning problem for multiple agents that cannot share holding resources, named OTIMAPP (Offline Time-Independent Multi-Agent Path Planning). Given a gra…

cs.RO2021

Active Modular Environment for Robot Navigation

Shota Kameyama, Keisuke Okumura, Yasumasa Tamura +1

This paper presents a novel robot-environment interaction in navigation tasks such that robots have neither a representation of their working space nor planning function, instead,…

cs.RO2021

Iterative Refinement for Real-Time Multi-Robot Path Planning

Keisuke Okumura, Yasumasa Tamura, Xavier Defago

We study the iterative refinement of path planning for multiple robots, known as multi-agent pathfinding (MAPF). Given a graph, agents, their initial locations, and destinations, a…

cs.GT2020

Quixo Is Solved

Satoshi Tanaka, François Bonnet, Sébastien Tixeuil +1

Quixo is a two-player game played on a 55 grid where the players try to align five identical symbols. Specifics of the game require the usage of novel techniques. Using a c…

cs.MA2020

Time-Independent Planning for Multiple Moving Agents

Keisuke Okumura, Yasumasa Tamura, Xavier Défago

Typical Multi-agent Path Finding (MAPF) solvers assume that agents move synchronously, thus neglecting the reality gap in timing assumptions, e.g., delays caused by an imperfect ex…