Enrico Bertolazzi
Papers
9
Total Citations
187
H-Index
5
About
Enrico Bertolazzi is a leading researcher in autonomous vehicle systems and intelligent transportation, whose work bridges theoretical motion planning with practical robotics applications. His most influential contribution is the concept of “artificial co-drivers,” introduced in a seminal 2014 position paper (70 citations), which frames future intelligent vehicles as collaborative human-robot systems. Bertolazzi has made significant advances in autonomous industrial robotics, developing a robust laser-camera fusion algorithm (RLPF) for pallet localization in forklifts (42 citations) and pioneering path planning that maximizes human comfort for assistive robots (39 citations). His technical expertise extends to the mathematical foundations of autonomous navigation, including efficient re-planning algorithms for robotic cars and novel solutions to the Three-Point Dubins Problem. Bertolazzi is particularly noted for his work on clothoid curves—critical for smooth, curvature-continuous trajectories—with multiple papers on point-clothoid distance computation. His research has direct implications for autonomous driving in critical conditions, demonstrated through hardware-in-the-loop testing frameworks. With a career spanning foundational geometry to applied robotics, Bertolazzi’s work continues to shape how autonomous systems interact safely and comfortably with humans.
Research Focus
Key Achievements
Top Papers
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- 3Path planning maximising human comfort for assistive robots39 citations · 2016
- 4Efficient Re-planning for Robotic Cars14 citations · 2018
- 5Efficient intersection between splines of clothoids11 citations · 2019
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- 8Point-Clothoid Distance and Projection Computation3 citations · 2019
- 9On the Distance between a Point and a Clothoid Curve2 citations · 2018