5 papers · 1 filter
Cross domain Persistent Monitoring for Hybrid Aerial Underwater Vehicles
Ricardo B. Grando, Victor A. Kich, Alisson H. Kolling +3
Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs) have emerged as platforms capable of operating in both aerial and underwater environments, enabling applications such as inspect…
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots
Victor Augusto Kich, Alisson Henrique Kolling, Junior Costa de Jesus +8
This paper introduces novel deep reinforcement learning (Deep-RL) techniques using parallel distributional actor-critic networks for navigating terrestrial mobile robots. Our appro…
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…
Precision and Adaptability of YOLOv5 and YOLOv8 in Dynamic Robotic Environments
Victor A. Kich, Muhammad A. Muttaqien, Junya Toyama +4
Recent advancements in real-time object detection frameworks have spurred extensive research into their application in robotic systems. This study provides a comparative analysis o…
Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations
Victor A. Kich, Jair A. Bottega, Raul Steinmetz +3
This paper introduces YamaS, a simulator integrating Unity3D Engine with Robotic Operating System for robot navigation research and aims to facilitate the development of both Deep…