Bozhidar Naydenov
Papers
11
Total Citations
54
H-Index
5
About
Bozhidar Naydenov is a robotics researcher whose work centers on the design, kinematics, and control of innovative robotic systems, with a particular emphasis on accessible, low-cost platforms enabled by 3D printing technology. His research has made meaningful contributions to the fields of walking robots, redundant manipulators, and humanoid robotic hands, consistently prioritizing practical implementation alongside theoretical rigor. Naydenov is perhaps best known for his "Big Foot" walking robot series, which demonstrated that effective locomotion and obstacle-climbing behavior could be achieved with as few as two independently controlled motors — an elegant solution that has drawn 22 citations across multiple publications. His 2019 work on a redundant 3D-printed educational robot (12 citations) further showcases his ability to bridge complex kinematic theory with tangible, student-accessible hardware. More recently, he has expanded into humanoid hand design and Delta robot architectures, employing modular, print-ready component strategies that simplify manufacturing without sacrificing functionality. His 2022 algorithm for classifying inverse kinematics solutions for planar robots reflects a growing theoretical dimension to his research portfolio. With over 50 cumulative citations, Naydenov's work is particularly valuable for educators, students, and engineers seeking affordable yet sophisticated robotic prototyping approaches.
Research Focus
Key Achievements
Top Papers
- 1Design and Control of an Educational Redundant 3D Printed Robot12 citations · 2019
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- 4Development and Applications of a 3D Printed Walking Robot - Big-Foot5 citations · 2018
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- 73D Printed DELTA Robot for Educational Purposes3 citations · 2024
- 8Design of a 3D Printed Humanoid Robotic Hand3 citations · 2023
- 9
- 10Brain-inspired IoT Controlled Walking Robot – Big-Foot2 citations · 2019