activity
20202022
most citedA reinforcement learning control approach for underwater manipulation under position and torque constraints

11 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.MA2022

Cooperative Marine Operations via Ad Hoc Teams

Ignacio Carlucho, Arrasy Rahman, William Ard +3

While research in ad hoc teamwork has great potential for solving real-world robotic applications, most developments so far have been focusing on environments with simple dynamics.…

cs.RO2021

Data-driven controllers and the need for perception systems in underwater manipulation

James P. Oubre, Ignacio Carlucho, Corina Barbalata

The underwater environment poses a complex problem for developing autonomous capabilities for Underwater Vehicle Manipulator Systems (UVMSs). The modeling of UVMSs is a complicated…

cs.RO2021

From market-ready ROVs to low-cost AUVs

Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Łuczyński +10

Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for different types of industrial applications. The generally high cost of (AUVs) restricts the access to…

cs.RO2021

Marine Vehicles Localization Using Grid Cells for Path Integration

Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula +1

Autonomous Underwater Vehicles (AUVs) are platforms used for research and exploration of marine environments. However, these types of vehicles face many challenges that hinder thei…

cs.RO2020★ 11 cited

A reinforcement learning control approach for underwater manipulation under position and torque constraints

Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta +1

In marine operations underwater manipulators play a primordial role. However, due to uncertainties in the dynamic model and disturbances caused by the environment, low-level contro…