Mark Mamchenko
Papers
9
Total Citations
60
H-Index
5
About
Mark Mamchenko is a leading researcher in collaborative robotics and human-robot interaction, with a focus on designing intelligent systems where humans and cobots work together as mixed heterogeneous teams. His most cited work, “Effective Functioning of a Mixed Heterogeneous Team in a Collaborative Robotic System” (19 citations), defines cobots as distinct intelligent robots and models the entire collaborative system as a single complex entity. Mamchenko has developed foundational algorithms for task allocation, including a simple yet effective approach (9 citations) and a comprehensive methodology (3 citations), which classify group control strategies for teams combining human workers and collaborative robots. He has also advanced indoor navigation for smart cities by applying visual SLAM algorithms to robots and UAVs, addressing the critical challenge of weak satellite signals (5 citations). His survey on the societal barriers to human-robot collaboration (8 citations) provides a roadmap for future adoption. Beyond manufacturing, Mamchenko has explored robotics for emergency response, designing a complex for transporting equipment and evacuating wounded personnel (5 citations). His work bridges theoretical frameworks with practical automation, making him a key voice in the evolution of collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2Simple Task Allocation Algorithm in a Collaborative Robotic System9 citations · 2023
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- 7Task Allocation Methodology in Collaborative Robotic Systems3 citations · 2023
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