Marine Robotics & Autonomous Systems
Robotic or autonomous concepts that support jellyfish-management activities.
This Student Problem Statement provides accessible background on seasonal jellyfish blooms and invites ideas that could improve how these natural events are managed across coastal infrastructure environments. The Emirates Nuclear Energy Company (ENEC) has an ongoing program that supports the detection of jellyfish blooms offshore, providing time to prepare appropriate response measures. This challenge is distinct from early detection: it focuses on innovative, sustainable approaches to managing jellyfish swarms once an early-warning notification has been issued, with the aim of reducing manual intervention and supporting marine-life protection.
Coastal facilities around the world that rely on seawater as part of their operations interact continuously with dynamic marine environments. Seasonal jellyfish blooms are a natural phenomenon observed in many coastal regions. Existing engineered protection and response measures support the successful management of these events; however, some activities may still require significant manual effort, specialized equipment, and sustained field support. This creates an opportunity to explore smarter, more sustainable, and environmentally responsible approaches that can reduce manual intervention while supporting operational efficiency and marine ecosystem protection.
International operating experience has shown that large seasonal aggregations of marine organisms can create challenges for seawater-dependent coastal facilities, reinforcing the value of proactive, sustainable, and technology-enabled management approaches.
Imagine you are part of a multidisciplinary team developing the next generation of sustainable marine-management technologies for coastal infrastructure. Your task is to design an innovative, practical, and environmentally responsible solution that can support the management of seasonal jellyfish blooms once an early-warning notification has been issued. The solution may guide, redirect, collect, move, or release jellyfish while minimizing manual intervention and protecting marine ecosystems.
The following areas are provided only as guiding examples to inspire participants. They are not exhaustive and should not limit creativity or constrain solution development. Participants may propose ideas within, across, or outside these areas, provided that the ideas address the challenge objectives.
Robotic or autonomous concepts that support jellyfish-management activities.
Environmentally responsible approaches to guide, collect, relocate, or release jellyfish.
Passive or active approaches that influence jellyfish movement while minimizing environmental impact.
Tools that support situational awareness, response planning, or integration with existing bloom-detection capabilities.
Participants are not expected to have prior expertise in nuclear energy systems. The challenge focuses on sustainable marine and engineering solutions applicable to coastal infrastructure.
Address the management of jellyfish swarms after an early-warning notification.
Minimize potential harm to jellyfish and other marine organisms.
Be practical and suitable for further development.
Reduce manual intervention or improve current management activities.
Be cost-conscious and capable of being scaled or adapted.
Be supported by clear assumptions and reasonable evidence.
Be capable of managing large, continuous, high-volume aggregations rather than small quantities.
Each team shall submit:
The detailed proposal should include:
Teams may also submit optional supporting materials (such as attachments or links) containing relevant calculations, drawings, references, test results, or other supporting information.
Teams may use AI tools to support their work. Any use should be declared, and teams should be able to explain their solution, decisions, and results in their own words.
Your work will be judged based on: