Roberto Bussola
Papers
8
Total Citations
79
H-Index
5
About
Roberto Bussola is a robotics researcher whose work bridges industrial automation, precision manufacturing, and accessible educational technology. His primary research areas include redundant serial robot optimization, kinematic calibration, and low-cost robotics for Industry 4.0. Bussola’s most influential contribution is his work on movement optimization for redundant serial robots used in laser pipe cutting, where he developed genetic algorithm-based methodologies to navigate complex cutting constraints and avoid collisions—a paper that has garnered 33 citations. He has also advanced industrial robot accuracy through a novel, low-cost full pose measurement system for kinematic calibration, capable of simultaneously tracking all six degrees of freedom, which has already earned 11 citations since its 2024 publication. Demonstrating a commitment to broadening robotics education, Bussola has designed modular, low-cost control systems for educational robots, integrating them into corporate IT infrastructures. His recent work on S-curve trajectory planning, which balances speed and precision by considering curvature radius, further underscores his focus on practical, high-performance solutions. With a career spanning from active suspension systems to high-speed redundant SCARA robots, Bussola’s research consistently delivers impactful, real-world advancements in robotic motion and accessibility.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Low-Cost Design Solutions for Educational Robots7 citations · 2018
- 5Simulation Assessment of the Performance of a Redundant SCARA6 citations · 2019
- 6
- 7
- 8Performance Analysis of a High-Speed Redundant Robot2 citations · 2018