Papers
18
Total Citations
189
H-Index
9
About
Ervin Burkus is a robotics researcher whose work spans legged locomotion, robot vision systems, and intelligent control, with particular expertise in hexapod walking robots and depth-sensing technologies. He is perhaps best known for his long-running development of the Szabad(ka) series of hexapod walker robots, introduced in 2007 and refined through subsequent years with sophisticated dynamical modeling and validated simulation frameworks — work that has attracted 26 citations for its landmark 2015 model validation study. Burkus has made notable contributions to robot optimization, applying genetic algorithms and Particle Swarm Optimization (PSO) to fine-tune both the mechanical structure and gait parameters of walking robots, significantly reducing the time and complexity of robot design. His research portfolio expanded into robot perception, with influential studies on Intel RealSense and ZED depth sensors applied to robotic vision systems, accumulating over 20 citations each. A further thread of his work addresses intelligent control theory, including the design of cascade fuzzy logic controllers for stabilizing underactuated two-wheeled pendulum robots. Collectively, Burkus's publications reflect a career dedicated to bridging mechanical design, computational intelligence, and practical robotic implementation, earning him a respected standing in the Eastern European robotics research community.
Research Focus
Key Achievements
Top Papers
- 1Model validation of a hexapod walker robot26 citations · 2015
- 2Autonomous Hexapod Walker Robot "Szabad(ka)"23 citations · 2007
- 3
- 4Painting Path Planning for a Painting Robot with a RealSense Depth Sensor20 citations · 2021
- 5
- 6Mechanical and walking optimization of a hexapod robot using PSO10 citations · 2013
- 7
- 8Fuzzy control of a two-wheeled mobile pendulum system10 citations · 2016
- 9Optimization of the hexapod robot walking by genetic algorithm9 citations · 2010
- 10