Rate My Professor Kasun Prasanga

Kasun Prasanga is a dedicated researcher in the Department of System Design Engineering at Keio University in Tokyo, Japan, where he focuses on advanced robotics and control systems. Holding a PhD and an MSc from Keio University, Japan, as well as a B.Sc. (Eng) Hons. from the University of Moratuwa, Sri Lanka, Prasanga is a Member of the Institute of Electrical and Electronics Engineers (MIEEE). His academic interests encompass robotics, biped locomotion, haptics, motion control, deep learning, human-robot interaction, mobile robotics, automation, system modeling, industrial automation, system integration, systems engineering, and robot vision. Additionally, he serves as a researcher in the Remote Operation Research Unit (Robot) at the Fukushima International Research & Education Organization (F-REI), contributing to developments in motion control, robotics, haptics, bipedal walking, and sensor design.

Prasanga's scholarly output includes over 15 publications, amassing 59 citations and influencing key areas in robotic technologies. Prominent works feature recent advancements such as "A Novel Inductive Position Sensor for Motion Control in Harsh Environments" (2025), "An Analysis of the Reward Function of a Hexapod Robot" (2025), "Gait Pattern Analysis For A Weight Carrying Hexapod Robot Using Reinforcement Learning" (2025), "A Novel Sensor Design of Angle Measurement for Harsh Environments" (2025), and "Gait Pattern Generation and Analysis of a Hexapod Ant Robot Using Reinforcement Learning" (2024). Earlier contributions include "3D Localization of an Object Using a Monocular Camera" (2023), "Identification of unknown object properties based on tactile motion sequence using 2-finger gripper robot" (2021), "Simultaneous bipedal locomotion based on haptics for teleoperation" (2019), "Compensation of Backlash for Geared Drive Systems and Thrust Wires Used in Teleoperation" (2015), "Achievement of real haptic sensation with tendon driven segregated jaws for laparoscopic forceps" (2012), and pioneering medical devices like "Design and development of an electronic stethoscope for cardiac murmur identification" (2013). His research trajectory demonstrates a commitment to overcoming nonlinearities, enhancing teleoperation precision, and applying reinforcement learning to complex robotic gaits, thereby advancing practical implementations in harsh and medical environments.