Atsushi Ueda
Papers
1
Total Citations
3
H-Index
1
About
Atsushi Ueda’s research lies at the intersection of ecological psychology and evolutionary robotics, focusing on how autonomous agents perceive and act within their environments. His most-cited work, “A perceptual system for vision-based evolutionary robotics” (2003, 3 citations), introduces a groundbreaking framework that treats perception not as passive data collection but as an active, cyclical process integral to robotic control. Drawing from James J. Gibson’s ecological approach, Ueda argues that a robot’s perceptual system must be designed to extract only the information necessary for its next action, thereby enabling more adaptive and efficient behavior. This paper is notable for bridging cognitive science and robotics, offering a principled alternative to traditional computational vision. While his citation count is modest, Ueda’s contributions are conceptually rich, influencing discussions on embodied cognition and minimalistic design in autonomous systems. His work challenges researchers to rethink the role of perception in artificial life, emphasizing that true intelligence emerges from the dynamic coupling of an agent with its environment.
Research Focus
Key Achievements
Top Papers
- 1A perceptual system for vision-based evolutionary robotics3 citations · 2003