Gnm: A general navigation model to drive any robot

D Shah, A Sridhar, A Bhorkar, N Hirose… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Learning provides a powerful tool for vision-based navigation, but the capabilities of
learning-based policies are constrained by limited training data. If we could combine data …

A systematic literature review on long‐term localization and map** for mobile robots

RB Sousa, HM Sobreira, AP Moreira - Journal of Field Robotics, 2023 - Wiley Online Library
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …

[PDF][PDF] Verbalization: Narration of Autonomous Robot Experience.

S Rosenthal, SP Selvaraj, MM Veloso - IJCAI, 2016 - ijcai.org
Autonomous mobile robots navigate in our spaces by planning and executing routes to
destinations. When a mobile robot appears at a location, there is no clear way to understand …

Distributed localization: A linear theory

S Safavi, UA Khan, S Kar… - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
Fifth-generation (5G) networks providing much higher bandwidth and faster data rates will
allow connecting vast number of stationary and mobile devices, sensors, agents, users …

Transfer learning for improving model predictions in highly configurable software

P Jamshidi, M Velez, C Kästner… - 2017 IEEE/ACM 12th …, 2017 - ieeexplore.ieee.org
Modern software systems are built to be used in dynamic environments using configuration
capabilities to adapt to changes and external uncertainties. In a self-adaptation context, we …