Akihiro Sato
McGill University, Tokyo Institute of Technology, NEC (Japan)
Papers
6
Total Citations
182
H-Index
3
About
Akihiro Sato is a pioneering researcher whose work bridges the fields of haptic perception and bio-inspired robotics, with a particular focus on how humans and machines interact with the physical world. His most influential contribution, a 2009 study with 107 citations, fundamentally advanced our understanding of touch by demonstrating that local surface orientation—not global shape—dominates haptic curvature discrimination during dynamic touch, overturning assumptions based solely on static conditions. In robotics, Sato is best known for his groundbreaking design of a planar flopping robot with just one actuator (60 citations), which elegantly validates the Spring-Loaded Inverted Pendulum (SLIP) model—a cornerstone concept for understanding how animals run. This minimalist approach to legged locomotion has inspired simpler, more efficient robot designs. He has also tackled complex challenges in machine learning, proposing an associative memory system capable of online incremental learning in noisy environments, and developed switching controllers for the hybrid dynamics of hopping robots. Sato’s work is notable for its interdisciplinary reach, from fundamental perceptual science to practical robotic control, earning him recognition as a researcher who combines theoretical rigor with inventive engineering.
Research Focus
Key Achievements
Top Papers
- 1Local Surface Orientation Dominates Haptic Curvature Discrimination107 citations · 2009
- 2
- 3Associative Memory for Online Incremental Learning in Noisy Environments9 citations · 2007
- 4Simple switching control for hybrid dynamics of a planar hopping robot2 citations · 2007
- 5
- 6Simulation of a one-legged hopping robot with phase plane stability2 citations · 2007