Papers
7
Total Citations
65
H-Index
3
About
Cesare Tonola’s research lies at the intersection of robotics, motion planning, and human-robot collaboration, with a focus on enabling robots to operate safely and efficiently in dynamic, human-centered environments. His major contributions center on developing anytime informed path replanning strategies that allow robots to rapidly adapt to moving obstacles and unpredictable human behavior without stopping—a critical capability for real-world applications like collaborative manufacturing. His most cited work (2023, 22 citations) introduces a multi-path replanning framework that pre-computes alternative routes and intelligently switches between them, while continuously optimizing the current path in an anytime fashion. Tonola has also advanced human-robot interaction through user-friendly voice command systems and visual perception (12 citations), and improved safety by predicting human motion with unscented Kalman filters. Notably, he created OpenMORE, an open-source ROS tool for sampling-based path replanning, promoting reproducibility and community adoption. With over 60 total citations and a growing portfolio of reactive, safety-aware algorithms, Tonola is shaping the future of collaborative robotics where machines seamlessly and safely share space with people.
Research Focus
Key Achievements
Top Papers
- 1Anytime Informed Multi-Path Replanning Strategy for Complex Environments22 citations · 2023
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- 5Reactive and Safety-Aware Path Replanning for Collaborative Applications3 citations · 2025
- 6OpenMORE: an open-source tool for sampling-based path replanning in ROS2 citations · 2023
- 7