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07/21/2023
CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction Execution for Robots
This work explores the capacity of large language models (LLMs) to addre...
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05/18/2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design
In this work we explore the combination of metaheuristics and learned ne...
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03/22/2023
Policy Reuse for Communication Load Balancing in Unseen Traffic Scenarios
With the continuous growth in communication network complexity and traff...
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03/22/2023
Communication Load Balancing via Efficient Inverse Reinforcement Learning
Communication load balancing aims to balance the load between different ...
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03/14/2023
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
In cellular networks, User Equipment (UE) handoff from one Base Station ...
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02/15/2023
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence
Our work examines the way in which large language models can be used for...
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02/03/2023
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
Radio Access Networks (RANs) for telecommunications represent large aggl...
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11/28/2022
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
In this paper, hypernetworks are trained to generate behaviors across a ...
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10/01/2022
Bayesian Q-learning With Imperfect Expert Demonstrations
Guided exploration with expert demonstrations improves data efficiency f...
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05/19/2022
IL-flOw: Imitation Learning from Observation using Normalizing Flows
We present an algorithm for Inverse Reinforcement Learning (IRL) from ex...
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12/09/2021
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain
We present a reward-predictive, model-based deep learning method featuri...
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11/27/2021
Average Outward Flux Skeletons for Environment Mapping and Topology Matching
We consider how to directly extract a road map (also known as a topologi...
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10/27/2021
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles
This paper presents the portable autonomous probing system (APS), a low-...
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06/18/2021
Sample Efficient Social Navigation Using Inverse Reinforcement Learning
In this paper, we present an algorithm to efficiently learn socially-com...
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05/20/2021
Scalable Multi-Robot System for Non-myopic Spatial Sampling
This paper presents a distributed scalable multi-robot planning algorith...
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01/12/2021
Learning Intuitive Physics with Multimodal Generative Models
Predicting the future interaction of objects when they come into contact...
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11/23/2020
Multimodal dynamics modeling for off-road autonomous vehicles
Dynamics modeling in outdoor and unstructured environments is difficult ...
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11/18/2020
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
We introduce a new class of vision-based sensor and associated algorithm...
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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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04/09/2020
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
We present a method for learning to drive on smooth terrain while simult...
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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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03/11/2020
DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
In this paper, we propose a real-time deep-learning approach for determi...
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12/02/2019
Detecting GAN generated errors
Despite an impressive performance from the latest GAN for generating hyp...
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06/17/2019
Heterogeneous Robot Teams for Informative Sampling
In this paper we present a cooperative multi-robot strategy to adaptivel...
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06/15/2019
Reinforcement Learning with Non-uniform State Representations for Adaptive Search
Efficient spatial exploration is a key aspect of search and rescue. In t...
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06/02/2019
Learning Domain Randomization Distributions for Transfer of Locomotion Policies
Domain randomization (DR) is a successful technique for learning robust ...
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11/25/2018
Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields
We present a transportable system for ocean observations in which a smal...
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11/25/2018
Planning in Dynamic Environments with Conditional Autoregressive Models
We demonstrate the use of conditional autoregressive generative models (...
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03/06/2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning
We present an algorithm for rapidly learning controllers for robotics sy...
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11/19/2017
Learning Seasonal Phytoplankton Communities with Topic Models
In this work we develop and demonstrate a probabilistic generative model...
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10/28/2017
Long-Distance Loop Closure Using General Object Landmarks
Visual localization under large changes in scale is an important capabil...
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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