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About

Joshua Julian Damanik is a rising researcher in the field of robotics, with a primary focus on multi-robot systems, autonomous navigation, and collision avoidance. His work addresses critical challenges in coordinating nonholonomic mobile robots, particularly in formation control and safe trajectory generation. In his highly cited 2022 paper, Damanik introduced a double-level-control collision avoidance scheme for polygon formation, where an upper-level controller generates trajectories and a lower-level controller ensures collision-free execution—a contribution that has garnered 15 citations for its practical approach to multi-robot coordination. His impact extends to autonomous ground navigation in highly constrained spaces, as demonstrated by his involvement in the third Benchmark Autonomous Robot Navigation (BARN) Challenge at ICRA 2024. This competition paper, with 13 citations, documents lessons learned from evaluating state-of-the-art navigation systems in cluttered, narrow environments, highlighting Damanik’s role in advancing real-world robotic deployment. His work bridges theoretical control and practical implementation, making him a notable contributor to the robotics community. With a growing citation record and participation in premier venues like ICRA, Damanik is establishing himself as a key voice in autonomous navigation and multi-robot coordination.