Papers
7
Total Citations
50
H-Index
4
About
Mihhail Matskin is a leading researcher in the intersection of artificial intelligence, robotics, and distributed systems, with a focus on enabling autonomous systems to perceive, plan, and collaborate in dynamic environments. His work spans object discovery, semantic web service composition, and decentralized resource management. Notably, his most cited paper, "YOLOv4-object: an Efficient Model and Method for Object Discovery" (2021, 18 citations), introduces a deep learning approach for recognizing unknown objects in images, a critical capability for robotic exploration. Matskin has pioneered the integration of semantic web services into multi-robot systems, as demonstrated in his 2009 work (14 citations), which applies service composition for action planning in loosely coupled robotic teams. He has also advanced constraint programming for dual-arm robot scheduling and workspace layout design (2023, 5 citations), addressing complex industrial automation challenges. His contributions to distributed web service discovery in infrastructure-less environments (2008-2009, 4+ citations each) have laid groundwork for self-organizing robot swarms and mobile agents. With over 50 citations across his top papers, Matskin’s work is foundational for autonomous systems operating in heterogeneous, dynamic settings, making him a key figure in modern robotics and AI.
Research Focus
Key Achievements
Top Papers
- 1YOLOv4-object: an Efficient Model and Method for Object Discovery18 citations · 2021
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- 7DeLP Based Semantic Location Lattice for Intelligent Robotic Navigation2 citations · 2008