K E Byakov

Bauman Moscow State Technical University

Papers

Total Citations

H-Index

About

K E Byakov is a researcher focused on advancing autonomous off-road mobility, particularly for tracked and wheeled robotic vehicles operating in complex terrain. Their work centers on two key areas: the automatic determination of soil parameters and the effectiveness estimation of autonomous tracked vehicles. Byakov’s major contribution lies in developing mathematical models that enable robots to autonomously assess soil conditions—such as traction and compaction—allowing for real-time speed and navigation adjustments. This is critical for improving the performance and safety of unmanned vehicles in agriculture, construction, and military applications. Their most cited paper, “Automatic determination of soil parameters by robotic vehicles” (2019, 7 citations), outlines a method for integrating chassis models with sensor data to estimate soil properties without human intervention. A second influential work, “Autonomous tracked vehicles effectiveness estimation” (2019, 5 citations), addresses the challenge of optimizing speed over rough terrain, a key bottleneck compared to human-driven vehicles. Though citation counts are modest, Byakov’s research is foundational for the growing field of autonomous off-road robotics, offering practical solutions for vehicle-terrain interaction that could shape future autonomous systems in unstructured environments.