activity
20122017
most citedMulti-agent RRT*: Sampling-based Cooperative Pathfinding (Extended Abstract)

6 citations · 12 across the 3 of their papers we have counts for

collaborators

5 papers

cs.MA2017

Impact of Mobility-on-Demand on Traffic Congestion: Simulation-based Study

David Fiedler, Michal Čáp, Michal Čertický

The increasing use of private vehicles for transportation in cities results in a growing demand for parking space and road network capacity. In many densely populated urban areas,…

cs.RO2016

A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles

Brian Paden, Michal Cap, Sze Zheng Yong +2

Self-driving vehicles are a maturing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportat…

cs.RO2016

Provably Safe and Deadlock-Free Execution of Multi-Robot Plans under Delaying Disturbances

Michal Čáp, Jean Gregoire, Emilio Frazzoli

One of the standing challenges in multi-robot systems is the ability to reliably coordinate motions of multiple robots in environments where the robots are subject to disturbances.…

cs.RO20136 cited

Multi-agent RRT*: Sampling-based Cooperative Pathfinding (Extended Abstract)

Michal Čáp, Peter Novák, Jiří Vokřínek +1

Cooperative pathfinding is a problem of finding a set of non-conflicting trajectories for a number of mobile agents. Its applications include planning for teams of mobile robots, s…

cs.AI20126 cited

Asynchronous Decentralized Algorithm for Space-Time Cooperative Pathfinding

Michal Čáp, Peter Novák, Jiří Vokřínek +1

Cooperative pathfinding is a multi-agent path planning problem where a group of vehicles searches for a corresponding set of non-conflicting space-time trajectories. Many of the pr…