11 citations · 19 across the 10 of their papers we have counts for
11 papers
Enhancing AUV Autonomy With Model Predictive Path Integral Control
Pierre Nicolay, Yvan Petillot, Mykhaylo Marfeychuk +2
Autonomous underwater vehicles (AUVs) play a crucial role in surveying marine environments, carrying out underwater inspection tasks, and ocean exploration. However, in order to en…
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho +1
Training a team to complete a complex task via multi-agent reinforcement learning can be difficult due to challenges such as policy search in a large joint policy space, and non-st…
Deep Reinforcement Learning for Multi-Agent Interaction
Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho +14
The development of autonomous agents which can interact with other agents to accomplish a given task is a core area of research in artificial intelligence and machine learning. Tow…
Few-Shot Teamwork
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho +1
We propose the novel few-shot teamwork (FST) problem, where skilled agents trained in a team to complete one task are combined with skilled agents from different tasks, and togethe…
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.…
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity
Arrasy Rahman, Elliot Fosong, Ignacio Carlucho +1
Ad hoc teamwork (AHT) is the challenge of designing a robust learner agent that effectively collaborates with unknown teammates without prior coordination mechanisms. Early approac…
A Survey of Ad Hoc Teamwork Research
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman +5
Ad hoc teamwork is the research problem of designing agents that can collaborate with new teammates without prior coordination. This survey makes a two-fold contribution: First, it…
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…
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…
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…
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…