Tundung Subali Patma

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About

Tundung Subali Patma is a robotics researcher whose work focuses on control systems and probabilistic localization for autonomous mobile robots. His key research areas include balancing control for differential drive robots and sensor fusion for robot navigation. Patma made significant contributions by developing a PID controller algorithm to stabilize a differential drive robot—a highly unstable, nonlinear, and under-actuated system—enabling it to maintain an upright position. This work, published in 2019, has garnered 3 citations and addresses a fundamental challenge in two-wheeled balancing robotics. Additionally, Patma conducted a comparative study of discrete Bayes and Kalman filters for 1D robot localization, analyzing their computational complexity and performance. This research, also from 2019 with 2 citations, provides valuable insights into the trade-offs between these foundational probabilistic approaches, which are critical for autonomous navigation. Through these contributions, Patma has advanced practical understanding of both control and estimation techniques in mobile robotics, offering solutions that balance theoretical rigor with real-world applicability. His work serves as a useful reference for researchers and students exploring balancing systems and localization algorithms.