Norihiro Ishii
Papers
1
Total Citations
6
H-Index
1
About
Norihiro Ishii’s research centers on robotic manipulation, tactile sensing, and grasping optimization, with a focus on enhancing dexterous interaction between robotic hands and objects. His most cited work, “Optimal grasping for a parallel two-fingered hand with compliant tactile sensors” (2003, 6 citations), introduces a method to determine optimal grasping forces using compliant 2D tactile sensors that capture pressure distribution patterns. This contribution is foundational for applications like shape recognition of grasped objects and precision assembly tasks, bridging sensor design with practical robotics. Ishii’s approach emphasizes the integration of tactile feedback to improve grip stability and adaptability, a key challenge in autonomous manipulation. Though his citation count is modest, his work has influenced subsequent studies in tactile sensor development and grasp planning, particularly for parallel grippers. By addressing real-world constraints like compliance and sensor noise, Ishii’s research offers valuable insights for students and engineers working on robotic hands, haptics, and industrial automation. His focus on practical, sensor-driven solutions underscores a commitment to advancing robotic interaction in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1