Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

Code for the CVPR 2022 paper "ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning" by Yuxiao Chen, Boris Ivanovic, and Marco Pavone

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

Code accompanying the CoRL 2020 paper "MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control" by Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, and Marco Pavone.

Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Marco Pavone.

Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco Pavone.

Code for “Signal Temporal Logic meets Hamilton-Jacobi Reachability: Connections and Applications” by Mo Chen, Qizhan Tam, Scott C. Livingston, and Marco Pavone.

Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.

Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance

Implementation of Lorenzetti and Pavone (2020).

Code accompanying the AI4Space 2022 paper "Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications" by Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, and Marco Pavone.

Case for george-norton's Peacock Trackpad

Code accompanying "Soft Robot Optimal Control Via Reduced-Order Finite Element Models" by Sander Tonkens, Joseph Lorenzetti, and Marco Pavone

Code for "Perception-Constrained Robot Manipulator Planning for Satellite Servicing," by Tariq Zahroof, Andrew Bylard, Hesham Shageer, and Marco Pavone.

Simple real time graphics renderer.

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Config files for my GitHub profile.

pavo

Dashboard project for all Pavone clients

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Config files for my GitHub profile.