{"type":"ScholarlyArticle","title":"Algorithmic Motion Planning Meets Minimially-Invasive Robotic Surgery","authors":[{"name":"Oren Salzman","slug":"oren-salzman","given":"Oren","family":"Salzman","affiliation":"Technion-Israel Institute of Technology"}],"abstract":"Robots for minimally-invasive surgery such as steerable needles and concentric-tube robots have the potential to dramatically alter the way common medical procedures are performed. They can decrease patient-recovery time, speed healing and reduce scarring. However, manually controlling such devices is highly un-intuitive and automatic planning methods are in need. For the automation of such medical procedures to be clinically accepted, it is critical from a patient care, safety, and regulatory perspective to certify the correctness and effectiveness of the motion-planning algorithms involved in procedure automation. In this paper, I survey recent and ongoing work where  we develop efficient and effective planning capabilities for medical robots that provide provable guarantees on various planner attributes as well as introduce new and exciting  research opportunities in the field.","doi":"10.24963/ijcai.2023/804","url":"https://ijcai.org/proceedings/2023/804","pdf":"https://ijcai.org/proceedings/2023/0804.pdf","markdown":"https://ijcai.org/proceedings/2023/804.md","bibtex":"https://ijcai.org/proceedings/2023/bibtex/804","volume":{"slug":"2023","title":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2023","url":"https://ijcai.org/proceedings/2023/","year":2023,"location":"Macao, SAR","dates":"19-25 August 2023","editors":"Edith Elkind","isbn":"978-1-956792-03-4","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2023"},"section":"Early Career","track":"Early Career","number":804,"pages":{"first":7039,"last":7044},"keywords":["EC: Robot Motion Planning"],"videos":[],"references":[{"position":1,"raw":"[Abolhassani et al., 2007] Niki Abolhassani, Rajni Patel, and Mehrdad Moallem. 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