Papers
2
Total Citations
10
H-Index
2
About
Anway Bose is a robotics researcher whose work centers on autonomous navigation, calibration, and educational competition design. His most cited paper, "A generalized framework for autonomous calibration of wheeled mobile robots" (2022, 8 citations), introduces a versatile, self-calibrating approach that reduces manual tuning for wheeled platforms, enhancing their reliability in real-world deployment. Bose also tackles time-constrained path planning in "Time Constraint Finite-Horizon Path Planning Solution for Micromouse Extreme Problem" (2022, 2 citations), where he addresses the high-pressure navigation challenges of the Micromouse Extreme competition. Notably, Bose contributed to the conceptualization of this competition itself, proposing it as a modern evolution of the classic Micromouse event—designed to push engineering students beyond traditional maze-solving into deep learning and advanced robotics skills. His work bridges practical calibration methods with educational innovation, offering tools that both improve robotic autonomy and inspire the next generation of engineers. With growing citations and a focus on active learning, Bose is establishing himself as a thoughtful contributor to accessible, high-impact robotics research.
Research Focus
Key Achievements
Top Papers
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- 2