Abstract: Centralized learning requires data to be aggregated at a central server, which poses significant challenges in terms of data privacy and bandwidth consumption. Federated learning presents a ...
While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
Abstract: This paper presents a novel hybrid framework that combines Dynamic Spanning Tree Coverage (D-STC) with Q-learning to address the challenges of mobile robot navigation and coverage in dynamic ...
This repository contains a Simscape model of a quadrupeded robot able to walk on flat and inclined terrain, with a environment that presents different obstacles, and the posibility of open-loop or ...
MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.
Developed by Texas A&M University engineering students, this AI-powered robotic dog doesn’t just follow commands. Designed to ...
Mammotion Luba Mini AWD LiDAR: full review of the cordless robotic lawnmower for gardens up to 1500 m². Tri-Fusion LiDAR ...
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