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2021-12
Active 3D Shape Reconstruction from Vision and Touch
2021-10
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles.
2021-07
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
2021-05
Multimodal dynamics modeling for off-road autonomous vehicles
Learning Intuitive Physics with Multimodal Generative Models
Practical Marginalized Importance Sampling with the Successor Representation
Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning
2021-01
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
2020-12
Intervention Design for Effective Sim2Real Transfer.
2020-11
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis
2020-10
PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
2020-08
Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework
2020-07
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
3D Shape Reconstruction from Vision and Touch
2020-05
View-Invariant Loop Closure with Oriented Semantic Landmarks
Depth Prediction for Monocular Direct Visual Odometry
2020-04
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
2020-01
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
2019-12
Detecting GAN generated errors.
2019-11
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
2019-10
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
Deep learning for Aerosol Forecasting.
2019-06
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Learning Domain Randomization Distributions for Transfer of Locomotion Policies.
2019-05
Off-Policy Deep Reinforcement Learning without Exploration
Semantic Mapping for View-Invariant Relocalization
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
2019-04
Human Motion Prediction Via Pattern Completion in Latent Representation Space
2019-01
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
2018-12
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
2018-11
Navigation in the Service of Enhanced Pose Estimation
2018-02
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Deep Reinforcement Learning that Matters
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