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Edward Schmerling

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Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach

Aug 10, 2020
Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone

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Learned Critical Probabilistic Roadmaps for Robotic Motion Planning

Oct 08, 2019
Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust

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Revisiting the Asymptotic Optimality of RRT*

Sep 20, 2019
Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone

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On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions

Dec 29, 2018
Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone

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Generative Modeling of Multimodal Multi-Human Behavior

Jul 26, 2018
Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone

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Perception-Aware Motion Planning via Multiobjective Search on GPUs

Dec 06, 2017
Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone

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Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction

Oct 25, 2017
Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone

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Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning

Jun 01, 2017
Edward Schmerling, Marco Pavone

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Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs

May 05, 2017
Brian Ichter, Edward Schmerling, Marco Pavone

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Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs

Feb 23, 2017
Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone

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