Guni Sharon

Ben-Gurion University of the Negev, Texas A&M University, The University of Texas at Austin

Papers

Total Citations

263

H-Index

About

Guni Sharon is a leading researcher in multi-robot systems and artificial intelligence, with a primary focus on advancing the field of Multi-Agent Path Finding (MAPF). His work bridges the gap between theoretical algorithms and real-world robotic applications, addressing critical challenges in coordination, resource management, and temporal uncertainty. Sharon’s most impactful contribution is the formalization of the Package-Exchange Robot-Routing Problem (PERR), a seminal 2016 paper with 135 citations that introduced a novel framework for robots to transfer packages among themselves, significantly expanding the scope of transportation logistics. He further shaped the field with his 2017 overview on generalizing MAPF to real-world scenarios (91 citations), which systematically identified key issues such as conflicts and synergies in multi-robot planning. His research also explores multirobot symbolic planning under temporal uncertainty, where he models limited domain resources like shared corridors to compute optimal, conflict-free plans. With a career marked by high-impact publications and a focus on practical, scalable solutions, Sharon’s work is essential reading for students and researchers tackling the complexities of autonomous multi-agent coordination in logistics, robotics, and AI.