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07/17/2023
A Study in Zucker: Insights on Human-Robot Interactions
In recent years there has been a large focus on how robots can operate i...
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05/05/2023
Composite Motion Learning with Task Control
We present a deep learning method for composite and task-driven motion c...
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02/21/2023
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Real-time, accurate prediction of human steering behaviors has wide appl...
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03/15/2022
SocialVAE: Human Trajectory Prediction using Timewise Latents
Predicting pedestrian movement is critical for human behavior analysis a...
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05/21/2021
A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control
We present a simple and intuitive approach for interactive control of ph...
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03/18/2021
Human-Inspired Multi-Agent Navigation using Knowledge Distillation
Despite significant advancements in the field of multi-agent navigation,...
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03/16/2020
Particle-Based Adaptive Discretization for Continuous Control using Deep Reinforcement Learning
Learning controls in high-dimensional continuous action spaces, such as ...
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07/12/2019
NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance
We propose NH-TTC, a general method for fast, anticipatory collision avo...
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10/11/2017