Kosuke Sakamoto
Papers
7
Total Citations
30
H-Index
4
About
Kosuke Sakamoto is a robotics researcher whose work sits at the intersection of planetary exploration, hopping locomotion, and swarm robotics — two of the most challenging frontiers in autonomous systems research. His early contributions focused on the development and evaluation of hopping rovers, known as "Hoppers," designed to traverse scientifically rich but physically demanding terrains where conventional wheeled vehicles cannot operate. His 2019 paper on novel foot pad designs for natural terrain traversal garnered 9 citations, establishing foundational insights into hopping robot mechanics. Sakamoto subsequently advanced path planning methodologies for uncertain environments, applying Markov Decision Processes (MDPs) and probabilistic frameworks to enable hoppers to intelligently navigate planetary surfaces and disaster zones with minimized risk. In parallel, he has made significant strides in swarm robotics, developing distributed exploration algorithms — including probabilistic presence density control and a novel probabilistic Vector Field Histogram obstacle avoidance method — that enable low-cost robot swarms to efficiently cover unknown environments. With a cumulative citation record spanning multiple internationally recognized publications, Sakamoto's research offers practical solutions for next-generation planetary exploration missions and autonomous multi-robot systems, making his work essential reading for researchers in field robotics and space engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7