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Gnm: A general navigation model to drive any robot
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 …
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
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
[PDF][PDF] Verbalization: Narration of Autonomous Robot Experience.
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 …
destinations. When a mobile robot appears at a location, there is no clear way to understand …
Distributed localization: A linear theory
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 …
allow connecting vast number of stationary and mobile devices, sensors, agents, users …
Transfer learning for improving model predictions in highly configurable software
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 …
capabilities to adapt to changes and external uncertainties. In a self-adaptation context, we …