Papers
2
Total Citations
5
H-Index
2
About
I. Tolstoy is a researcher in robotics and human-machine interaction, with a focus on autonomous navigation and intuitive control systems. Their work centers on developing intelligent robotic systems that can operate in stochastic environments, particularly through reinforcement learning applied to LiDAR data for robot navigation. Tolstoy’s research also explores gesture-based control of collaborative robots (cobots), emphasizing ergonomic human-machine interfaces. Their 2019 paper on robot navigation in stochastic environments using reinforcement learning has garnered 3 citations, while their study on gesture control of collaborative robots, which justifies the ergonomic use of gestural modalities and details gesture recognition solutions, has received 2 citations. This latter work highlights key considerations for selecting effective gestures for cobot control, contributing to safer and more natural human-robot collaboration. Tolstoy’s contributions advance the field of robotics by bridging autonomous decision-making and user-friendly interaction, with potential applications in manufacturing, service robotics, and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Gesture control of collaborative robot2 citations · 2019