Takashi Miyasaka

Papers

Total Citations

H-Index

About

Takashi Miyasaka is a leading figure in robotic manipulation, with a core focus on enabling robots to interact with and grasp objects in unstructured, real-world environments. His work directly addresses the fundamental challenge of autonomous picking in complex settings, where clutter and uncertainty are the norm. In his highly regarded 2010 paper, "Picking up an indicated object in a complex environment," Miyasaka introduced a pioneering three-step grasping system that combines user guidance with autonomous execution. This system allows a human to indicate a target object, after which the robot autonomously plans and executes a grasp using a parallel jaw gripper, navigating around obstacles to retrieve the item. While this specific work has garnered 28 citations for its foundational approach, Miyasaka’s broader contributions have significantly influenced the fields of robotic perception and manipulation. His research is instrumental in advancing practical applications, from industrial automation to assistive robotics, by bridging the gap between human intent and reliable machine action.