Stiliyan Nikolov
Papers
10
Total Citations
38
H-Index
4
About
Stiliyan Nikolov is a robotics researcher focused on industrial automation, human-robot interaction, and the design of specialized robotic systems. His major contributions span three key areas: optimal robot selection for manufacturing, adaptive control for mobile robots, and low-cost parallel kinematics design. His most cited work, "Computer-Aided Choosing of an Optimal Structural Variant of a Robot for Extracting Castings from Die Casting Machines" (2023, 6 citations), addresses practical challenges in foundry automation. He has developed innovative adaptive control schemes for mobile robots that follow persons from the front, combining leader-follower formation with look-ahead concepts (2021, 5 citations; 2020, 4 citations). His methodology for designing low-cost parallel kinematics robots (2025, 4 citations) offers an alternative to classical approaches by leveraging modern CAD/CAM capabilities. Nikolov has also contributed to the semiconductor industry through studies of SCARA robot applications (2024, 4 citations) and developed optimization approaches for pneumatically actuated linear modules used in sprayer robots (2022, 4 citations). His work on real-time laser obstacle detection for autonomous mobile robot navigation (2019, 3 citations) demonstrates his breadth across both industrial and service robotics.
Research Focus
Key Achievements
Top Papers
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- 3Methodology for designing low-cost robots with parallel kinematics4 citations · 2025
- 4An Adaptive Control Scheme for Human Following Behavior of Mobile Robots4 citations · 2020
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- 8Classification of parallel kinematics robots3 citations · 2024
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- 10Problems in Designing Robots with Parallel Kinematics2 citations · 2024