Sampling-based motion planning and re-planning

M. Faroni, D. Berenson, “Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models,” IEEE ICRA, 2024. [PDF]
M. Faroni, M. Beschi, and N. Pedrocchi, “Adaptive Hybrid Local-Global Sampling for Fast Informed Sampling-Based Optimal Path Planning,” Autonomous Robots, 2024. [PDF]
M. Faroni, D. Berenson, “Motion Planning as Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning,” IEEE Robotics and Automation Letters, 2023. [PDF]
M. Faroni, M. Beschi, and N. Pedrocchi, “Safety-aware time-optimal motion planning with uncertain human state estimation,” IEEE Robotics and Automation Letters, vol. 7, pp. 12219–12226, 2022. [PDF]
C. Tonola, M. Faroni, M. Beschi, and N. Pedrocchi, “Anytime informed multi-path replanning strategy for complex environments,” IEEE Access, vol. 11, pp. 4105–4116, 2023 [PDF]
M. Beschi, S. Mutti, G. Nicola, M. Faroni, P. Magnoni, E. Villagrossi, and N. Pedrocchi, “Optimal robot motion planning of redundant robots in machining and additive manufacturing applications,” Electronics, vol. 8, no. 12, p. 1473, 2019. [PDF]