Manuel A. Ribeiro — accepted AI-conference papers

2017

Mixed-initiative planning, replanning and execution: From concept to field testing using AUV fleets

Lukáš Chrpa, José Pinto, Tiago Sá Marques, Manuel A. Ribeiro, João Sousa

IROS 2017poster

Mission planning and execution for autonomous vehicles is crucial for their effective and efficient operation during scientific exploration, or search and rescue missions, to mention a few. Automated Planning has shown to be a useful tool for “high level” mission planning, that is, allocating tasks…

Cited by 5 Source ↗Scholar ↗

2015

On mixed-initiative planning and control for Autonomous underwater vehicles

Lukáš Chrpa, José Pinto, Manuel A. Ribeiro, Frédéric Py, João Sousa, Kanna Rajan

IROS 2015poster

Supervision and control of Autonomous underwater vehicles (AUVs) has traditionally been focused on an operator determining a priori the sequence of waypoints of a single vehicle for a mission. As AUVs become more ubiquitous as a scientific tool, we envision the need for controlling multiple vehicles…

Cited by 33 Source ↗Scholar ↗