MM Rahman

Hokkaido University, Shahjalal University of Science and Technology

Papers

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About

MM Rahman is a pioneering researcher in agricultural robotics, with a primary focus on autonomous navigation and path planning for robot combine harvesters. Their most significant contribution is the development of an optimum harvesting area algorithm for convex and concave polygon fields, published in 2019, which has garnered 50 citations. This work provides a foundational framework for efficient path planning, enabling robotic harvesters to minimize travel distance and energy consumption while maximizing coverage—a critical advancement for precision agriculture. Rahman also tackled the challenge of heading estimation during turning maneuvers (2018, 7 citations), addressing gyro measurement bias in inertial measurement units that causes heading drift in tracked robot harvesters. This research enhances the reliability of autonomous turning, a key operational phase. By solving these practical navigation problems, Rahman has directly contributed to the feasibility of fully autonomous harvesting systems. Their work is notable for bridging theoretical geometry with real-world agricultural constraints, making them a key figure in the transition toward smart farming.