Daiki Suzuki
Papers
5
Total Citations
30
H-Index
4
About
Daiki Suzuki is a robotics researcher whose work bridges the critical gap between robotic systems and real-world safety and performance. His primary research areas include mobile robot odometry, human-robot interaction safety, and haptic control systems. Suzuki’s most influential work, "Online slip parameter estimation for tracked vehicle odometry on loose slope" (13 citations), addresses a key challenge in volcanic exploration by enabling unmanned ground vehicles to navigate treacherous, slippery terrains—a contribution vital for disaster response and evacuation missions. He has also made significant strides in human-robot safety, conducting in vivo impact tests to evaluate bruise injury tolerance during physical contact with personal care robots, directly informing safer robot design standards. Additionally, Suzuki has advanced tactile sensing with a shear-force sensor using LTPS TFT active matrix backplanes, and developed bilateral control systems for tendon-driven manipulators that transmit force sensation, enhancing teleoperation in surgery and hazardous environments. His work on skill proficiency evaluation further demonstrates his commitment to improving human-robot collaboration. With a research portfolio that combines rigorous experimentation with practical applications, Suzuki is a key figure in making robots safer and more capable in unstructured, human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1Online slip parameter estimation for tracked vehicle odometry on loose slope13 citations · 2016
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