Pedro M. Pinheiro — accepted AI-conference papers

2024

Energy-efficient Trajectory Planning with Media Transition for a Hybrid Unmanned Aerial-Underwater Vehicle

Pedro M. Pinheiro, Armando Alves Neto, Douglas G. Macharet, Paulo L. J. Drews

IROS 2024poster

Vehicles capable of operating in more than one environment have been developed to solve real problems. Among them, the hybrid unmanned aerial-underwater vehicle (HUAUV) is receiving attention from the robotics community, mainly with a quadrotor-like configuration. However, this vehicle presents high…

Cited by 0 Source ↗Scholar ↗

2021

Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition

Ricardo B. Grando, Junior C. de Jesus, Victor A. Kich, Alisson H. Kolling, Nicolas P. Bortoluzzi, Pedro M. Pinheiro +2

ICRA 2021poster

Since the application of Deep Q-Learning to the continuous action domain in Atari-like games, Deep Reinforcement Learning (Deep-RL) techniques for motion control have been qualitatively enhanced. Nowadays, modern Deep-RL can be successfully applied to solve a wide range of complex decision-making ta…

Cited by 46 Source ↗Scholar ↗