Papers
16
Total Citations
221
H-Index
6
About
Andrei Lobov’s research bridges the gap between abstract engineering knowledge and tangible industrial robotics, focusing on cyber-physical systems, knowledge-driven manufacturing, and human-robot collaboration. His most cited work, “Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems” (129 citations), redefines how embedded systems bridge high-level enterprise functions with production operations, enabling deterministic control in modern factories. Lobov pioneers the use of OWL ontologies for semantic mediation in mixed-reality human-robot assembly (20 citations), treating both humans and robots as autonomous entities capable of dynamic role-switching—a paradigm shift from pre-planned routines. He also advances practical automation with methodologies for universal gripping solutions (15 citations) and automatic weld path generation from CAD (9 citations), directly addressing SMEs’ need for affordable, flexible robotics. His work on knowledge-driven finite-state machines (5 citations) and free shape paths in industrial robots (6 citations) further demonstrates his commitment to formalizing engineering knowledge for reusability. Lobov’s contributions have earned over 200 total citations, reflecting his impact on both theoretical frameworks and real-world manufacturing efficiency.
Research Focus
Key Achievements
Top Papers
- 1Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems129 citations · 2016
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- 4Automatic weld path definition in CAD9 citations · 2020
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- 6Free shape paths in industrial robots6 citations · 2012
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