Songpol Ongwattanakul
Papers
7
Total Citations
42
H-Index
4
About
Songpol Ongwattanakul is a pioneering roboticist whose research bridges disaster response, medical rehabilitation, and sensor fusion. His most impactful work, with 20 citations, focuses on heterogeneous robot collaboration for safety, security, and rescue operations under the e-ASIA Joint Research Program—a critical contribution to disaster risk reduction in flood and landslide scenarios. He has also advanced assistive robotics through the development of a lower-limb exoskeleton with an energy-storing mechanism for spinal cord injury rehabilitation, directly addressing disability challenges in Thailand. Ongwattanakul’s technical innovations include the adaptive polynomial predictive filter (APPF), which solves inconsistent and interrupted sensor data problems in fusion systems, and sensorless gravity torque estimation for surgical robots, enabling real-time force feedback in teleoperation. His work extends to bio-inspired needle systems for biopsy and energy-optimized path planning for multi-robot rescue teams. With a consistent focus on real-world impact—from humanitarian crises to clinical care—Ongwattanakul demonstrates how robotics can save lives and improve mobility. His interdisciplinary approach, combining control theory, machine learning, and mechanical design, positions him as a leading figure in applied robotics for safety and healthcare.
Research Focus
Key Achievements
Top Papers
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