Akira ABE

About

Akira Abe is a robotics and control systems researcher whose work spans several decades, with primary expertise in trajectory planning, flexible robotic structures, and vibration suppression. His most influential contribution, a 2010 paper on neural network-based trajectory planning for flexible Cartesian robot manipulators (65 citations), established a novel approach to point-to-point motion control by combining system identification with artificial intelligence to achieve precise, experimentally verified results. This work laid a foundation for his subsequent research into energy-efficient motion planning, including a 2013 study on minimum energy trajectories for manipulators mounted on flexible bases (27 citations) and a 2016 investigation into simultaneous residual vibration suppression and energy reduction using cycloidal trajectory profiles (25 citations). Earlier in his career, Abe made notable contributions to applied robotics, including flexible microactuator-driven pipeline inspection robots (1993, 24 citations) and teleoperated grinding systems for hazardous environments, reflecting a sustained interest in practical robotic deployment. His work on soft computing techniques for vibration suppression further demonstrates his interdisciplinary approach. Collectively, Abe's research offers valuable insights for engineers and students working on flexible robotics, intelligent control, and energy-aware motion planning.

Research Focus

Key Achievements

Top Papers

1. 1
   Trajectory planning for flexible Cartesian robot manipulator by using artificial neural network: numerical simulation and experimental verification

   65 citations · 2010
2. 2
   Minimum energy trajectory planning method for robot manipulator mounted on flexible base

   27 citations · 2013
3. 3
   An effective trajectory planning method for simultaneously suppressing residual vibration and energy consumption of flexible structures

   25 citations · 2016
4. 4
   Applying Flexible Microactuators to Pipeline Inspection Robots

   24 citations · 1993
5. 5
   Force Controlled Grinding Robot System For Unstructured Tasks

   11 citations · 2005
6. 6
   Intelligent manipulator system with nonsymmetric and redundant master‐slave

   10 citations · 1992
7. 7
   Residual vibration suppression for robot manipulator attached to a flexible link by using soft computing techniques

   5 citations · 2011
8. 8
   A Study on a Remote-Controlled Grinding Robot System.

   5 citations · 1992
9. 9
   Grinding Robot.

   2 citations · 1991

Key Collaborators

Contact & Links