30 citations · 36 across the 4 of their papers we have counts for
4 papers
Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models
Marco Faroni, Dmitry Berenson
Robotic manipulation relies on analytical or learned models to simulate the system dynamics. These models are often inaccurate and based on offline information, so that the robot p…
Motion Planning as Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning
Marco Faroni, Dmitry Berenson
Kinodynamic motion planners allow robots to perform complex manipulation tasks under dynamics constraints or with black-box models. However, they struggle to find high-quality solu…
Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments
Marco Faroni, Alessandro Umbrico, Manuel Beschi +3
Combining symbolic and geometric reasoning in multi-agent systems is a challenging task that involves planning, scheduling, and synchronization problems. Existing works overlooked…
Hiding task-oriented programming complexity: an industrial case study
Enrico Villagrossi, Michele Delledonne, Marco Faroni +2
The ease of use of robot programming interfaces represents a barrier to robot adoption in several manufacturing sectors because of the need for more expertise from the end-users. C…