Arpit Joon
Papers
5
Total Citations
46
H-Index
2
About
Arpit Joon is a robotics researcher focused on multi-robot systems, autonomous navigation, and sensor fusion for mobile platforms. His work centers on enabling teams of non-holonomic robots—such as cleaning robots and automated guided vehicles (AGVs)—to operate collaboratively in real-world environments. Joon’s most cited paper, “Design of Autonomous Mobile Robot for Cleaning in the Environment with Obstacles” (34 citations), bridges theory and practice by integrating adaptive manufacturing with a control algorithm that has a proven stability guarantee. A major contribution is his development of a leader-follower control approach that uses extended Kalman filter (EKF) sensor data fusion and an on-board rotating camera platform for enhanced perception. This system, detailed in multiple papers (e.g., 2023, 2025), employs ArUco markers for relative localization and behavior trees for robust decision-making. Joon’s work on low-cost, open-source perception-enhancing devices—such as a one-degree-of-freedom rotating platform for Intel RealSense sensors—demonstrates a practical path toward scalable multi-robot coordination. His research has accumulated over 46 citations, with recent publications (2023–2025) showing growing impact in autonomous robotics.
Research Focus
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Top Papers
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