119 citations · 355 across the 60 of their papers we have counts for
18 papers · 1 filter
Continuous Meta-Learning without Tasks
James Harrison, Apoorva Sharma, Chelsea Finn +1
Meta-learning is a promising strategy for learning to efficiently learn within new tasks, using data gathered from a distribution of tasks. However, the meta-learning literature th…
Error Bounds for Reduced Order Model Predictive Control
Joseph Lorenzetti, Marco Pavone
Model predictive control is a powerful framework for enabling optimal control of constrained systems. However, for systems that are described by high-dimensional state spaces this…
A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme
Joseph Lorenzetti, Marco Pavone
The control of constrained systems using model predictive control (MPC) becomes more challenging when full state information is not available and when the nominal system model and…
Map-Predictive Motion Planning in Unknown Environments
Amine Elhafsi, Boris Ivanovic, Lucas Janson +1
Algorithms for motion planning in unknown environments are generally limited in their ability to reason about the structure of the unobserved environment. As such, current methods…
Towards a Co-Design Framework for Future Mobility Systems
Gioele Zardini, Nicolas Lanzetti, Mauro Salazar +3
The design of Autonomous Vehicles (AVs) and the design of AVs-enabled mobility systems are closely coupled. Indeed, knowledge about the intended service of AVs would impact their d…
Sample Complexity of Probabilistic Roadmaps via -nets
Matthew Tsao, Kiril Solovey, Marco Pavone
We study fundamental theoretical aspects of probabilistic roadmaps (PRM) in the finite time (non-asymptotic) regime. In particular, we investigate how completeness and optimality g…