{"type":"ScholarlyArticle","title":"Connect Multi-Agent Path Finding: Generation and Visualization","authors":[{"name":"Arthur Queffelec","slug":"arthur-queffelec","given":"Arthur","family":"Queffelec","affiliation":""},{"name":"Ocan Sankur","slug":"ocan-sankur","given":"Ocan","family":"Sankur","affiliation":""},{"name":"Francois Schwarzentruber","slug":"francois-schwarzentruber","given":"François","family":"Schwarzentruber","affiliation":""}],"abstract":"We present a generic tool to visualize missions of the Connected Multi-Agent Path Finding (CMAPF) problem.  This problem is a variant of MAPF which requires a group of agents to navigate from an initial configuration to a goal configuration while maintaining connection. The user can create an instance of CMAPF and can play the generated plan. Any algorithm for CMAPF can be plugged into the tool.","doi":"10.24963/ijcai.2021/714","url":"https://ijcai.org/proceedings/2021/714","pdf":"https://ijcai.org/proceedings/2021/0714.pdf","markdown":"https://ijcai.org/proceedings/2021/714.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/714","volume":{"slug":"2021","title":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2021","url":"https://ijcai.org/proceedings/2021/","year":2021,"location":"Montreal","dates":"19-27 August 2021","editors":"Prof. Zhi-Hua Zhou","isbn":"978-0-9992411-9-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2021"},"section":"Demo Track","track":"Demo Track","number":714,"pages":{"first":5008,"last":5011},"keywords":["Multi-agent Systems: General","Planning and Scheduling: General"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}