Yevgen Zasoba
Papers
1
Total Citations
12
H-Index
1
About
Yevgen Zasoba is a robotics researcher whose work focuses on enabling mobile robots to operate autonomously in human environments, with a particular emphasis on door-opening—a critical yet challenging task for seamless robot navigation. His most cited work, “An Approach for Opening Doors with a Mobile Robot Using Machine Learning Methods” (2023, 12 citations), addresses a fundamental bottleneck in autonomous robotics: the ability to interact with and traverse through different types of doors without human intervention. By applying machine learning techniques, Zasoba’s research contributes to extending the duration and reliability of autonomous robot operations, moving beyond simple navigation to include physical interaction with the environment. This work is essential for applications ranging from service robotics to search-and-rescue, where robots must move between rooms independently. Though early in his career, Zasoba’s targeted contributions to robotic door manipulation highlight a practical, high-impact area of research, bridging the gap between perception and action in real-world settings. His work serves as a stepping stone toward more capable, self-sufficient mobile robots.
Research Focus
Key Achievements
Top Papers
- 1