Mikhail Konenkov
Skolkovo Institute of Science and Technology, Russian Space Systems
Papers
7
Total Citations
54
H-Index
3
About
Mikhail Konenkov is an emerging researcher at the forefront of embodied artificial intelligence, with a focus on integrating large multimodal models (LMMs) into autonomous systems, robotics, and next-generation industrial automation. His work spans autonomous driving perception, cognitive robotics, and the application of generative AI to complex real-world environments. Konenkov's most recognized contribution, VLM-Auto (22 citations), advances vision-language model architectures for autonomous driving, addressing critical challenges such as hallucination and computational overhead in trajectory prediction. His CognitiveDog project (16 citations) represents a landmark achievement in quadruped robotics, enabling a Unitree Go1 robot to communicate verbally and physically manipulate objects through multimodal reasoning. Complementing this, CognitiveOS proposes the first cross-platform operating system for cognitive robots, structured as a transformer-based multi-agent system. Beyond individual platforms, Konenkov has introduced the visionary concept of Industry 6.0, envisioning fully automated production pipelines driven by generative AI and heterogeneous robot swarms. His HawkDrive system further demonstrates hardware-software innovation for nighttime autonomous driving perception. With over 50 cumulative citations across publications spanning just 2024–2025, Konenkov's rapidly growing body of work marks him as a compelling voice in next-generation intelligent systems research.
Research Focus
Key Achievements
Top Papers
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