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About

Sanggar Dewanto is a robotics researcher whose work centers on humanoid robot design, kinematics analysis, and motion control systems. He is best known for his contributions to the development of the "T-FLoW" humanoid robot series, a research platform through which he has explored fundamental and applied challenges in robotic locomotion and manipulation. Dewanto's most influential work examines forward and inverse kinematics methodologies, including his development of an improved Damped Least Squares approach for solving inverse kinematics in 7-DOF manipulator systems, enabling more precise end-effector positioning for grasping tasks. His forward kinematics analyses provide comprehensive joint position calculations essential for dynamic system modeling in full-body humanoid robots. Beyond manipulation, Dewanto has advanced humanoid locomotion research, notably investigating dynamic stability for walking on inclined surfaces using design pattern step strategies — a challenging frontier in bipedal robotics. His work on prosthetic robot hands further demonstrates a commitment to applying humanoid robotics principles to assistive technology. With citations accumulating across multiple studies, Dewanto's research offers foundational frameworks for students and engineers designing humanoid platforms, making his publications valuable references for those working at the intersection of mechanical design, control theory, and biomimetic robotics.