2021-12
Iterative Teaching by Label Synthesis
2021-10
Lifelong Topological Visual Navigation.
2021-09
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents.
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
2021-06
Taskography: Evaluating robot task planning over large 3D scene graphs
2021-05
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning
Deep Koopman Representation for Control over Images (DKRCI)
Orthogonal Over-Parameterized Training
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
gradSim: Differentiable simulation for system identification and visuomotor control
2021-04
gradSim: Differentiable simulation for system identification and visuomotor control
2021-03
LOCO: Adaptive exploration in reinforcement learning via local estimation of contraction coefficients
2020-12
Look-ahead Meta Learning for Continual Learning
2020-10
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
2020-07
Perceptual Generative Autoencoders
2020-06
La-MAML: Look-ahead Meta Learning for Continual Learning
2020-05
∇SLAM: Dense SLAM meets Automatic Differentiation
2020-04
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
2020-03
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
2020-02
Curriculum in Gradient-Based Meta-Reinforcement Learning.
Generating Automatic Curricula via Self-Supervised Active Domain Randomization.
2020-01
The AI Driving Olympics at NeurIPS 2018
2019-10
gradSLAM: Automagically differentiable SLAM
gradSLAM: Dense SLAM meets Automatic Differentiation
2019-09
Kotlin∇: A shape-safe DSL for differentiable programming
2019-08
Deep Active Localization
2019-05
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
2019-04
Active Domain Randomization
Conference on Robot Learning
(2019-04-09)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1904.04762 (2019-04-09)]2019-01
The AI Driving Olympics: An Accessible Robot Learning Benchmark
2018-09
2018-06
Local Positioning System Using UWB Range Measurements for an Unmanned Blimp
2018-05
Learning Steering Bounds for Parallel Autonomous Systems
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps
2018-04
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
2018-01
Navigation for Underwater Vehicles
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping
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