Papers
18
Total Citations
129
H-Index
7
About
Konstantin Krestovnikov is a robotics researcher whose work spans modular and reconfigurable robotic systems, swarm robotics, biped locomotion, and wireless power transmission. His most influential contribution, "Self-reconfiguration algorithms for robotic systems" (2018, 34 citations), introduced a novel decomposition-based approach to reconfiguration planning for chain-type robots, establishing a foundational framework in the field. Complementing this, his work on the Mobile Autonomous Reconfigurable System explored unified modular architectures capable of independent self-assembly and adaptive reconfiguration during operation. Krestovnikov has made meaningful strides in energy management for robotic groups, developing mathematical models and estimation methods for wireless bi-directional energy transfer between robots — a critical challenge for sustaining autonomous swarm operations. His contributions to biped robotics, particularly gait generation using 3D linear inverted pendulum dynamics, further demonstrate the breadth of his expertise. Additional work on capacitive sensing, magnetic grippers for industrial applications, and fault tolerance modeling reflects his commitment to practical, real-world robotic deployment. With over 100 cumulative citations across diverse subfields, Krestovnikov represents an emerging voice in intelligent robotic systems, bridging theoretical modeling with applied engineering solutions relevant to modern autonomous platforms.
Research Focus
Key Achievements
Top Papers
- 1Self-reconfiguration algorithms for robotic systems34 citations · 2018
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- 6Mobile Autonomous Reconfigurable System8 citations · 2018
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