1 citations · 1 across the 4 of their papers we have counts for
4 papers
Online Learning of Deceptive Policies under Intermittent Observation
Gokul Puthumanaillam, Ram Padmanabhan, Jose Fuentes +7
In supervisory control settings, autonomous systems are not monitored continuously. Instead, monitoring often occurs at sporadic intervals within known bounds. We study the problem…
Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection
Daniel Correa, Tero Kaarlela, Jose Fuentes +3
This paper presents a reinforcement learning (RL) environment for developing an autonomous underwater robotic coral sampling agent, a crucial coral reef conservation and research t…
Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes +2
Robots navigating complex environments must manage uncertainty from sensor noise, environmental changes, and incomplete information, with different tasks requiring varying levels o…
Towards Optimal Human-Robot Interface Design Applied to Underwater Robotics Teleoperation
Paulo Padrao, Jose Fuentes, Tero Kaarlela +2
Efficient and intuitive Human-Robot interfaces are crucial for expanding the user base of operators and enabling new applications in critical areas such as precision agriculture, a…