Mikhail A. Kurochkin
Papers
1
Total Citations
5
H-Index
1
About
Mikhail A. Kurochkin’s research focuses on the intersection of robotics, multi-agent systems, and operational optimization, with a particular emphasis on efficient task allocation and motion planning for robot collectives. His most cited work, “A study of the evaluation function for the cost of transport operations in distribution of purpose in a group of robots” (2017, 5 citations), tackles a fundamental challenge in swarm robotics: how to computationally distribute targets among robots without incurring the prohibitive cost of calculating every possible trajectory. Kurochkin proposes an evaluation function that estimates transport costs, enabling rapid, near-optimal target assignment while discarding unused paths. This contribution is critical for real-time applications, where computational resources are limited and decision speed is paramount. By reducing the complexity of multi-robot coordination, his work supports advances in logistics, search-and-rescue, and autonomous warehouse systems. Though his citation count remains modest, Kurochkin’s approach offers a practical, scalable solution to a core problem in distributed robotics, making his research a valuable reference for engineers and scientists developing efficient, cooperative robot teams.
Research Focus
Key Achievements
Top Papers
- 1