T. Arakawa
Papers
13
Total Citations
334
H-Index
9
About
T. Arakawa is a pioneering robotics researcher whose career has been defined by a sustained focus on biped locomotion, computational intelligence, and autonomous motion generation. Working primarily during the late 1990s and early 2000s, Arakawa made landmark contributions to the challenge of making robots walk naturally — a problem that sits at the intersection of biomechanics, artificial intelligence, and control engineering. His most influential work introduced hierarchical trajectory generation methods combining genetic algorithms (GAs) and evolutionary programming to produce human-like walking gaits, accumulating over 60 citations each. Arakawa further advanced the field by integrating recurrent neural networks with self-adaptive GAs to stabilize biped locomotion using zero moment point (ZMP) analysis, and demonstrated energy-optimized natural motion trajectory generation — work collectively cited nearly 250 times. Beyond bipeds, he explored redundant manipulator planning, structured robotic intelligence, and the broader application of computational intelligence — including neural networks and fuzzy systems — across industrial and space robotics. His early survey on GA algorithms in intelligent robots helped lay conceptual groundwork for the field. Arakawa's body of work represents a cohesive and influential vision of adaptive, learning-capable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Trajectory generation for biped locomotion robot69 citations · 2000
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- 5GA Algorithms in Intelligent Robots21 citations · 1997
- 6Motion planning for a robotic system with structured intelligence20 citations · 2002
- 7Computational intelligence in robotics and automation18 citations · 2002
- 8Recurrent neural network with self-adaptive GAs for biped locomotion robot17 citations · 2002
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- 10Intelligent systems: Robotics versus mechatronics7 citations · 1998