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07/28/2023
Does Unpredictability Influence Driving Behavior?
In this paper we investigate the effect of the unpredictability of surro...
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03/27/2023
Exploring Continual Learning of Diffusion Models
Diffusion models have achieved remarkable success in generating high-qua...
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03/26/2023
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Catastrophic forgetting has been a major challenge in continual learning...
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03/24/2023
Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting
Generating low-level robot task plans from high-level natural language i...
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03/24/2023
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
Vision Transformers (ViT) have shown their competitive advantages perfor...
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02/22/2023
MVTrans: Multi-View Perception of Transparent Objects
Transparent object perception is a crucial skill for applications such a...
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02/14/2023
ConceptFusion: Open-set Multimodal 3D Mapping
Building 3D maps of the environment is central to robot navigation, plan...
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12/19/2022
An Adaptive Robotics Framework for Chemistry Lab Automation
In the process of materials discovery, chemists currently need to perfor...
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11/14/2022
NeurIPS 2022 Competition: Driving SMARTS
Driving SMARTS is a regular competition designed to tackle problems caus...
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10/25/2022
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
PDDLStream solvers have recently emerged as viable solutions for Task an...
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09/23/2022
Stochastic Planning for ASV Navigation Using Satellite Images
Autonomous surface vessels (ASV) represent a promising technology to aut...
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07/11/2022
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
3D scene graphs (3DSGs) are an emerging description; unifying symbolic, ...
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06/25/2022
SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos
Self-supervised methods have significantly closed the gap with end-to-en...
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11/25/2021
Learning to Search in Task and Motion Planning with Streams
Task and motion planning problems in robotics typically combine symbolic...
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10/14/2021
Augmenting Imitation Experience via Equivariant Representations
The robustness of visual navigation policies trained through imitation o...
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09/30/2021
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects
The basis of many object manipulation algorithms is RGB-D input. Yet, co...
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09/21/2021
Physics-based Human Motion Estimation and Synthesis from Videos
Human motion synthesis is an important problem with applications in grap...
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03/05/2021
LOHO: Latent Optimization of Hairstyles via Orthogonalization
Hairstyle transfer is challenging due to hair structure differences in t...
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11/27/2020
Skill Transfer via Partially Amortized Hierarchical Planning
To quickly solve new tasks in complex environments, intelligent agents n...
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11/02/2020
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
The potential benefits of model-free reinforcement learning to real robo...
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10/27/2020
Conservative Safety Critics for Exploration
Safe exploration presents a major challenge in reinforcement learning (R...
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09/25/2020
Continual Model-Based Reinforcement Learning with Hypernetworks
Effective planning in model-based reinforcement learning (MBRL) and mode...
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06/29/2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
We present Nav2Goal, a data-efficient and end-to-end learning method for...
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05/21/2020
LEAF: Latent Exploration Along the Frontier
Self-supervised goal proposal and reaching is a key component for explor...
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05/21/2020
Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks
Self-supervised goal proposal and reaching is a key component of efficie...
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04/19/2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Recent works in high-dimensional model-predictive control and model-base...
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03/22/2020
One-Shot Informed Robotic Visual Search in the Wild
We consider the task of underwater robot navigation for the purpose of c...
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03/17/2020
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
Mobile manipulators consist of a mobile platform equipped with one or mo...
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03/10/2020
DIBS: Diversity inducing Information Bottleneck in Model Ensembles
Although deep learning models have achieved state-of-the-art performance...
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09/25/2017
Underwater Multi-Robot Convoying using Visual Tracking by Detection
We present a robust multi-robot convoying approach that relies on visual...
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08/14/2017