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10 papers · 1 filter

cs.RO2026

Self Supervised Learning from Automatically Generated Demonstrations for Visual Robotic Manipulation

Andres Rivas, Anselmo R. Cukla, Rodrigo S. Guerra +2

Robotic manipulation often requires object specific programming, manual data annotation, or calibrated perception pipelines, which limits rapid deployment in practical settings. Le…

cs.RO2026

Hybrid Attention Estimation Pipeline for Adaptive HRI Using an Expressive Robotic Head

Pablo Moraes, Monica Rodriguez, Christopher Peters +4

This paper presents an applied case study on hybrid visual attention estimation for human-robot interaction using an expressive robotic head based on the InMoov ecosystem. The prop…

cs.RO2025

Mini Autonomous Car Driving based on 3D Convolutional Neural Networks

Pablo Moraes, Monica Rodriguez, Kristofer S. Kappel +5

Autonomous driving applications have become increasingly relevant in the automotive industry due to their potential to enhance vehicle safety, efficiency, and user experience, ther…

cs.RO2025

UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025

Pablo Moraes, Mónica Rodríguez, Sebastian Barcelona +6

This paper describes the development of an autonomous car by the UruBots team for the 2025 FIRA Autonomous Cars Challenge (Pro). The project involves constructing a compact electri…

cs.RO2025

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation

Diego Pollini, Bruna V. Guterres, Rodrigo S. Guerra +1

The integration of Large Language Models (LLMs), such as GPT, in industrial robotics enhances operational efficiency and human-robot collaboration. However, the computational compl…

cs.RO2024

Behavior Cloning for Mini Autonomous Car Path Following

Pablo Moraes, Christopher Peters, Hiago Sodre +6

This article presents the implementation and evaluation of a behavior cloning approach for route following with autonomous cars. Behavior cloning is a machine-learning technique in…

cs.RO2024

UruBots UAV -- Air Emergency Service Indoor Team Description Paper for FIRA 2024

Hiago Sodre, Sebastian Barcelona, Anthony Scirgalea +9

This document addresses the description of the corresponding "Urubots" Team for the 2024 Fira Air League, "Air Emergency Service (Indoor)." We introduce our team and an autonomous…

cs.RO2024

UruBots Autonomous Cars Team One Description Paper for FIRA 2024

Pablo Moraes, Christopher Peters, Any Da Rosa +12

This document presents the design of an autonomous car developed by the UruBots team for the 2024 FIRA Autonomous Cars Race Challenge. The project involves creating an RC-car sized…

cs.RO2024

UruBots Autonomous Car Team Two: Team Description Paper for FIRA 2024

William Moraes, Juan Deniz, Pablo Moraes +12

This paper proposes a mini autonomous car to be used by the team UruBots for the 2024 FIRA Autonomous Cars Race Challenge. The vehicle is proposed focusing on a low cost and light…

cs.RO2024

Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning

Ricardo B. Grando, Raul Steinmetz, Victor A. Kich +7

Deep Reinforcement Learning (DRL) has emerged as a promising approach to enhancing motion control and decision-making through a wide range of robotic applications. While prior rese…