119 citations · 355 across the 60 of their papers we have counts for
7 papers · 1 filter
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs
Boris Ivanovic, Marco Pavone
Developing safe human-robot interaction systems is a necessary step towards the widespread integration of autonomous agents in society. A key component of such systems is the abili…
Risk-Sensitive Generative Adversarial Imitation Learning
Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow +1
We study risk-sensitive imitation learning where the agent's goal is to perform at least as well as the expert in terms of a risk profile. We first formulate our risk-sensitive imi…
Robot Motion Planning in Learned Latent Spaces
Brian Ichter, Marco Pavone
This paper presents Latent Sampling-based Motion Planning (L-SBMP), a methodology towards computing motion plans for complex robotic systems by learning a plannable latent represen…
Meta-Learning Priors for Efficient Online Bayesian Regression
James Harrison, Apoorva Sharma, Marco Pavone
Gaussian Process (GP) regression has seen widespread use in robotics due to its generality, simplicity of use, and the utility of Bayesian predictions. The predominant implementati…
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies
Lucas Janson, Tommy Hu, Marco Pavone
This paper addresses the problem of planning a safe (i.e., collision-free) trajectory from an initial state to a goal region when the obstacle space is a-priori unknown and is incr…
Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy
Federico Rossi, Saptarshi Bandyopadhyay, Michael Wolf +1
In this paper, we review multi-agent collective behavior algorithms in the literature and classify them according to their underlying mathematical structure. For each mathematical…