Roberto Tron
Papers
19
Total Citations
405
H-Index
7
About
Roberto Tron is a leading researcher in multi-robot systems, SLAM, and control theory, whose work bridges rigorous optimization with practical robotic autonomy. His most impactful contribution is a seminal 2015 survey on initialization techniques for 3D SLAM (238 citations), which established rotation estimation as a critical step in pose graph optimization—transforming a non-convex problem into a tractable linear one. This work has become a foundational reference for the SLAM community. Tron’s research also tackles coordination and security in multi-robot teams; his ScRATCHeS framework (58 citations) provides scalable algorithms for task-based coordination under real-world constraints like deadlines and inter-task dependencies. He has advanced resilient robotics through studies on physical masquerade attacks, and developed novel control barrier function approaches for safe haptic teleoperation of UAVs and chance-constrained robust control under noisy measurements. His work on bearing-only visual homing and energy-optimal trajectory generation further demonstrates his versatility in combining geometric optimization with control theory. With over 370 total citations, Tron’s research consistently addresses fundamental challenges in making multi-robot systems robust, secure, and practically deployable.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Chance Constraint Robust Control with Control Barrier Functions17 citations · 2021
- 5Resilience of Multi-robot Systems to Physical Masquerade Attacks10 citations · 2019
- 6
- 7Distributed Sensing Subject to Temporal Logic Constraints8 citations · 2018
- 8
- 9
- 10