Papers
4
Total Citations
43
H-Index
3
About
Marco Riboli is a robotics researcher specializing in motion planning and trajectory optimization for robotic systems, with a particular focus on dual-arm and gantry robot architectures. His work centers on developing mathematically rigorous yet practically deployable solutions to some of the most challenging problems in industrial robotics, including self-collision avoidance and smooth, efficient motion generation. Riboli's most influential contribution, "Collision-free and smooth motion planning of dual-arm Cartesian robot based on B-spline representation" (2023), has garnered 27 citations and introduced a novel framework that simultaneously ensures collision-free operation and G2-continuity — a critical requirement for smooth, low-jerk robot motion in manufacturing environments. His subsequent work has extended these ideas through time-parameterized B-spline frameworks for joint trajectory planning and robust collision-free motion generation for dual-gantry systems in pick-and-place applications, accumulating additional recognition across the robotics community. A unifying thread throughout Riboli's research is the elegant application of B-spline mathematics to real-world robotic constraints. With a growing body of work and over 40 combined citations, he represents an emerging voice in advanced robot motion planning whose contributions are increasingly relevant to automation researchers and engineers tackling next-generation manufacturing challenges.
Research Focus
Key Achievements
Top Papers
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- 3Collision-free motion generation for dual-gantry robotic systems4 citations · 2025
- 4