activity
20222026
most citedGeneralization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping

53 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2026

Reinforcement Learning for Control Systems with Time Delays: A Comprehensive Survey

Armando Alves Neto

In the last decade, Reinforcement Learning (RL) has achieved remarkable success in the control and decision-making of complex dynamical systems. However, most RL algorithms rely on…

cs.RO2025

UAIbot: Beginner-friendly web-based simulator for interactive robotics learning and research

Johnata Brayan, Armando Alves Neto, Pavel Petrovič +2

This paper presents UAIbot, a free and open-source web-based robotics simulator designed to address the educational and research challenges conventional simulation platforms genera…

eess.SY2023★ 4 cited

Improving the Design of Linear Controllers for Homogeneous Platooning under Disturbances

Emerson A. da Silva, Leonardo A. Mozelli, Armando A. Neto +1

This paper addresses the problem of longitudinal platooning control of homogeneous vehicles subject to external disturbances, such as wind gusts, road slopes, and parametric uncert…

cs.RO2022★ 53 cited

Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping

Victor R. F. Miranda, Armando A. Neto, Gustavo M. Freitas +1

In this paper, we study the application of DRL algorithms in the context of local navigation problems, in which a robot moves towards a goal location in unknown and cluttered works…

eess.SY2022★ 1 cited

Robust Longitudinal Control for Vehicular Autonomous Platoons Using Deep Reinforcement Learning

Armando Alves Neto, Leonardo Amaral Mozelli

In the last few years, researchers have applied machine learning strategies in the context of vehicular platoons to increase the safety and efficiency of cooperative transportation…