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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 which would impose less cognitive burden on the operator with a more abstract form of human-in-the-loop control. Such mixed-initiative methods in goal-oriented commanding are new for the oceanographic domain and we describe the motivations and preliminary experiments with multiple vehicles operating simultaneously in the water, using a shore-based automated planner.
|Title of host publication||IROS Hamburg 2015 - Conference Digest: IEEE/RSJ International Conference on Intelligent Robots and Systems|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 11 Dec 2015|
|Event||IEEE/RSJ International Conference on Intelligent Robots and Systems - Congress Center, Hamburg, Germany|
Duration: 28 Sep 2015 → 2 Oct 2015
https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=33365 (Link to Conference Website )
|Conference||IEEE/RSJ International Conference on Intelligent Robots and Systems|
|Abbreviated title||IROS 2015|
|Period||28/09/15 → 2/10/15|
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- 1 Finished
Machine Learning and Adaptation of Domain Models to Support Real-Time Planning in Autonomous Systems
1/03/12 → 30/09/16