Taiki Okada

Papers

Total Citations

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About

Taiki Okada is a robotics researcher whose work centers on the force feedback and control of hydraulically-driven, multi-degree-of-freedom robots, with a particular focus on construction and heavy machinery applications. His most-cited paper, "Force feedback by external load estimation from cylinder pressures of hydraulically-driven multiple DOF robot" (2017, 2 citations), demonstrates a method for estimating external loads from cylinder pressures and relaying that force information to an operator via a haptic device. While this early work revealed challenges in estimating impulsive forces, it laid a foundation for improving operator situational awareness and safety in teleoperated construction robots. Okada's contributions are notable for addressing the practical difficulties of implementing force feedback in real-world hydraulic systems—a critical step toward more intuitive and effective human-robot interaction in heavy industry. Though his citation count is modest, his research represents a focused effort to bridge the gap between laboratory robotics and field-deployable construction automation, offering valuable insights for engineers working on haptic feedback and force estimation in high-power robotic systems.