Autonomous Underwater Robots for Live Environmental Monitoring

Real-time monitoring of underwater ecosystems is crucial for maintaining healthy marine environments increasingly affected by human activity and climate change. Existing AUVs, however, exhibit limited adaptability to fluctuating underwater conditions, short operational lifespans due to restricted energy resources, and low spatial-temporal coverage. To address these limitations, this paper introduces EcoSwarm, a distributed autonomous underwater robot swarm that uniquely integrates adaptive sensing and bio-inspired manipulation for real-time environmental monitoring and interaction. Each miniature AUV is equipped with multi-modal sensors for chemical, biological, and physical data collection, coupled with an AI-driven adaptive sensing framework that dynamically adjusts sensing strategies in response to environmental changes. A decentralized communication system, combining acoustic and optical channels, enables robust coordination and data fusion across the swarm. Additionally, bio-inspired compliant robotic arms empower EcoSwarm to perform cooperative environmental interventions such as microplastic collection and habitat restoration. The system's hybrid energy-harvesting and docking architecture extends operational endurance, while prototype testing demonstrates superior adaptability, fault tolerance, and real-time responsiveness compared to conventional AUVs. EcoSwarm thus establishes a transformative paradigm in underwater robotics, combining swarm intelligence, adaptive sensing, and manipulative interaction to achieve sustainable marine ecosystem management.