Igor Bychkov
Papers
9
Total Citations
47
H-Index
4
About
Igor Bychkov is a leading researcher in multi-robot mission planning, with a focus on autonomous underwater vehicles (AUVs) and heterogeneous mobile robot teams. His work addresses critical challenges in persistent surveillance, coordinated recharging, and dynamic routing under real-world constraints like limited energy and communication. Bychkov’s major contributions include developing hybrid evolutionary and hierarchical approaches that enable efficient, scalable coordination for fleets of robots operating in vast, unstructured environments. His most-cited paper, “Hybrid Evolutionary Approach to Multi-objective Mission Planning for Group of Underwater Robots” (2015, 10 citations), alongside “Two-Level Evolutionary Approach to Persistent Surveillance for Multiple Underwater Vehicles with Energy Constraints” (2019, 10 citations), demonstrates his impact in advancing autonomous oceanographic operations. Bychkov has also pioneered self-adaptive coordination schemes for fuel-constrained teams and situational awareness under limited communication, with notable recent work on hierarchical event-based control (2021) and aperiodic communications (2022). His research is instrumental in pushing the boundaries of autonomous robotics for economic, military, and environmental applications, making him a key figure in the field.
Research Focus
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