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06/26/2023
ViNT: A Foundation Model for Visual Navigation
General-purpose pre-trained models ("foundation models") have enabled pr...
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06/02/2023
SACSoN: Scalable Autonomous Data Collection for Social Navigation
Machine learning provides a powerful tool for building socially complian...
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04/19/2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
We present a system that enables an autonomous small-scale RC car to dri...
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03/01/2023
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control
Recent progress in large language models (LLMs) has demonstrated the abi...
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12/16/2022
Offline Reinforcement Learning for Visual Navigation
Reinforcement learning can enable robots to navigate to distant goals wh...
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12/13/2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results
Navigation is one of the most heavily studied problems in robotics, and ...
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10/14/2022
ExAug: Robot-Conditioned Navigation Policies via Geometric Experience Augmentation
Machine learning techniques rely on large and diverse datasets for gener...
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10/07/2022
GNM: A General Navigation Model to Drive Any Robot
Learning provides a powerful tool for vision-based navigation, but the c...
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07/10/2022
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Goal-conditioned policies for robotic navigation can be trained on large...
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02/23/2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
Robotic navigation has been approached as a problem of 3D reconstruction...
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11/22/2021
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments
Geometric methods for solving open-world off-road navigation tasks, by l...
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11/04/2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Reinforcement learning can train policies that effectively perform compl...
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04/12/2021
RECON: Rapid Exploration for Open-World Navigation with Latent Goal Models
We describe a robotic learning system for autonomous navigation in diver...
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12/17/2020
ViNG: Learning Open-World Navigation with Visual Goals
We propose a learning-based navigation system for reaching visually indi...
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09/18/2020
Low Density Parity Check Code (LDPC Codes) Overview
This paper basically expresses the core fundamentals and brief overview ...
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06/03/2020
Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
Aerial manipulation aims at combining the manoeuvrability of aerial vehi...
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04/27/2020
The Ingredients of Real-World Robotic Reinforcement Learning
The success of reinforcement learning for real world robotics has been, ...
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01/23/2020
Machine learning based co-creative design framework
We propose a flexible, co-creative framework bringing together multiple ...
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10/04/2017