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09/15/2023
Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation
Shared autonomy enables novice remote users to conduct deep-ocean scienc...
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06/30/2023
Statler: State-Maintaining Language Models for Embodied Reasoning
Large language models (LLMs) provide a promising tool that enable robots...
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06/17/2023
Active Policy Improvement from Multiple Black-box Oracles
Reinforcement learning (RL) has made significant strides in various comp...
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05/22/2023
NeRFuser: Large-Scale Scene Representation by NeRF Fusion
A practical benefit of implicit visual representations like Neural Radia...
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07/24/2022
N-LIMB: Neural Limb Optimization for Efficient Morphological Design
A robot's ability to complete a task is heavily dependent on its physica...
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02/09/2022
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer
This work provides a complete framework for the simulation, co-optimizat...
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12/06/2021
Self-Supervised Camera Self-Calibration from Video
Camera calibration is integral to robotics and computer vision algorithm...
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05/21/2021
Language Understanding for Field and Service Robots in a Priori Unknown Environments
Contemporary approaches to perception, planning, estimation, and control...
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11/23/2020
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
Self-supervised representation learning has witnessed significant leaps ...
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09/13/2020
Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman
In multi-agent learning, agents must coordinate with each other in order...
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09/09/2020
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
As robotics matures and increases in complexity, it is more necessary th...
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08/03/2020
Concurrent Training Improves the Performance of Behavioral Cloning from Observation
Learning from demonstration is widely used as an efficient way for robot...
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04/10/2020
Residual Policy Learning for Shared Autonomy
Shared autonomy provides an effective framework for human-robot collabor...
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02/15/2020
Loop estimator for discounted values in Markov reward processes
At the working heart of policy iteration algorithms commonly used and st...
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10/22/2019
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
Recent advances in data-driven models for grounded language understandin...
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08/01/2019
DIODE: A Dense Indoor and Outdoor DEpth Dataset
We introduce DIODE, a dataset that contains thousands of diverse high re...
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07/03/2019
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
We propose a new complexity measure for Markov decision processes (MDP),...
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06/13/2019
Multigrid Neural Memory
We introduce a novel architecture that integrates a large addressable me...
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03/21/2019
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions
The speed and accuracy with which robots are able to interpret natural l...
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03/06/2019
The AI Driving Olympics at NeurIPS 2018
Despite recent breakthroughs, the ability of deep learning and reinforce...
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01/04/2018
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning
The physical design of a robot and the policy that controls its motion a...
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04/04/2017
Satellite Image-based Localization via Learned Embeddings
We propose a vision-based method that localizes a ground vehicle using p...
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11/21/2016
Coherent Dialogue with Attention-based Language Models
We model coherent conversation continuation via RNN-based dialogue model...
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10/11/2016
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation
Modern robotics applications that involve human-robot interaction requir...
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11/17/2015
Learning Articulated Motion Models from Visual and Lingual Signals
In order for robots to operate effectively in homes and workplaces, they...
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09/02/2015
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
We propose an end-to-end, domain-independent neural encoder-aligner-deco...
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06/12/2015
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
We propose a neural sequence-to-sequence model for direction following, ...
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02/05/2015