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2009 Underwater Robotics/Planning & Execution Summer Internship, Monterey Bay California

The Monterey Bay Aquarium Research Institute (MBARI http://www.mbari.org) is a private non-profit oceanographic research institute which has engaged in inter-disciplinary research in the ocean sciences and technology for over 20 years. The institute does advanced work in Robotics, Genetics, Micro-Biology and Ocean Exploration and Observing with 3 ocean going ships, 2 Remotely Operated Vehicles (ROV's) and 3 Autonomous Underwater Vehicles (AUV's) in addition to state-of-the-art science and technology facilities.
MBARI's 2009 Internship applications are now open with details at:

http://www.mbari.org/education/internship/09interns/09announce.htm

MBARI's Autonomous Systems group is engaged in research efforts to use advanced Artificial Intelligence (AI) techniques to enable Autonomous Underwater Vehicles (AUV) to be more adaptive and self aware of their resource and goal commitments. Our onboard deliberative system T-REX (http://www.mbari.org/autonomy/TREX/) being used on AUV platform (http://www.mbari.org/auv/), is based on the sense-deliberate-act paradigm synthesizing new mission plans in response to environmental conditions. T-REX uses a state-of-the-art temporal constraint-based planner (EUROPA) developed originally at NASA and flown on a number of space missions including ground-based control of the ongoing Mars Exploration Rovers (MER).
Potential internship opportunities include (but not limited to) working on:

1. PlanWorks debugging tool for EUROPA which allows us to leverage work done in visualization of constraint networks, token networks and timelines. The internship primarily be focused on developing PlanWorks to provide diagnostic information for T-REX.

2. Expanding the simulation capability currently available within T-REX, including monte-carlo simulation for model and and agent validation. The internship will focus on augmenting and adding new features for shore-side T-REX validation.

3. Extend the NDDL domain modeling language within the EUROPA planner to natively support arithmetic constraints and propagate them efficiently.
Highly motivated graduate or undergraduate students with substantial

+ Java programming skills
+ Excellent C++ programming skills
+ AI Planning and a background in Constraint Satisfaction

are encouraged to apply. Women and Minorities are particularly encouraged to apply.

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