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06/24/2021
Multi-Robot Deep Reinforcement Learning for Mobile Navigation
Deep reinforcement learning algorithms require large and diverse dataset...
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12/17/2020
ViNG: Learning Open-World Navigation with Visual Goals
We propose a learning-based navigation system for reaching visually indi...
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10/09/2020
LaND: Learning to Navigate from Disengagements
Consistently testing autonomous mobile robots in real world scenarios is...
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04/23/2020
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads
Transporting suspended payloads is challenging for autonomous aerial veh...
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02/13/2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
Mobile robot navigation is typically regarded as a geometric problem, in...
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02/11/2019
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
Deep reinforcement learning provides a promising approach for vision-bas...
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12/27/2018
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty
Deep learning provides a powerful tool for machine perception when the o...
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10/16/2018
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
A general-purpose intelligent robot must be able to learn autonomously a...
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11/14/2017
Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots
Millirobots are a promising robotic platform for many applications due t...
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09/29/2017
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Enabling robots to autonomously navigate complex environments is essenti...
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08/08/2017
