WATER2030

Water Autonomous Treatment and Environmental Restoration

Autonomous surface vessel project for water waste harvesting and plastic pollution cleanup using advanced AI, robotics, and systems engineering principles.

Research Project - Concept Phase

Project Evolution

From COVID-19 Response to Award-Winning Innovation

2020

Project Conception

WATER2030 was conceived during the COVID-19 pandemic, addressing the challenges authorities faced in maintaining and cleaning marine environments when human resources were limited.

It was mostly driven by Diomidis' deep love for the sea and desire to preserve and restore the environment with the aid of science/engineering.

2024

ERC Grant Proposal

Submitted as an ERC Consolidator Grant 2024 proposal to the European Research Council. Despite not securing funding, the proposal laid the groundwork for future developments.

2024

Prototype Success

The vision inspired Ernesto Sigalas at Technical University of Crete to develop a working prototype, winning first place at POPRI EUSAIR Youth 2024:

  • 🏆 Team: Ernesto Sigalas, Marios Konstantoudakis
  • 🎓 Mentor: Diomidis Katzourakis
  • 📰 Featured in: CNN Greece, Local Media
Vision

Looking Forward

WATER2030 remains a comprehensive vision for autonomous marine cleanup. While the prototype demonstrates technical feasibility, the full scope of the project - including fleet operations, advanced AI integration, and widespread deployment - awaits realization through future research and funding opportunities.

The Plastic Pollution Crisis

Addressing the critical need for autonomous water cleanup solutions

Despite EU policy goals to prevent waste, plastic packaging waste continues to increase. The Mediterranean Sea faces a particular crisis, with nearly 80% of microplastic pollution originating from land sources.

700+
Tons of plastic entering Mediterranean daily
100B
Surface floating plastic items in Balearic islands study
50%
EU target reduction in marine plastic litter
188kg
Packaging waste per capita (2021)

Key Challenges

  • Increasing plastic waste generation despite prevention policies
  • Mediterranean Sea comparable to subtropical gyre accumulation zones
  • Limited attempts to reduce existing stock of maritime plastic litter
  • Need for cost-effective, scalable autonomous harvesting solutions

WATER2030 Solution

Autonomous water waste harvesting platform with minimal human supervision

🚁

TFV Platform

Prototype TFV with expandable architecture for autonomous waste harvesting

🏗️

Infrastructure

Develop supporting infrastructure including docking stations, communication networks, and user interfaces

📋

Operations

Operational guidelines, training protocols, and comprehensive legal framework study

Design Principles

🛡️ Safety First

  • Failsafe design with Return-to-Base functionality
  • Fault tolerant systems
  • COLREGs compliance
  • Wildlife protection measures

💰 Cost Effective

  • Target: <20k€ manufacturing cost
  • Low maintenance requirements
  • Minimal human supervision
  • Scalable production design

🔧 High Reliability

  • 15,000 km operational lifespan
  • Redundant critical systems
  • 75%+ uptime target
  • Smart diagnostics

Technical Architecture

Advanced autonomy stack with AI-powered perception and planning

Platform Specifications

🚢 Physical Design

  • Unsinkable catamaran hull design
  • <40kg empty weight, <2m² footprint
  • 360° rotatable jet thrusters
  • Retractable sensor tower
  • Anti-capsize design

🧠 Autonomy Features

  • Computer vision waste detection
  • YOLO/R-CNN object recognition
  • Real-time path planning
  • GNSS + sensor fusion localization
  • Generative AI behavior modeling

⚡ Performance Targets

  • >0.4 m/s harvesting speed
  • 15kg/50L waste capacity
  • 3+ hours operation time
  • 5km cruise range
  • Solar + battery power

Autonomy Operation Space (AOS)

Maturity Level Wave Height Wind Speed Visibility Environment
M1 (Initial) <0.1m <11 km/h >500m Marinas, harbors
M2 (Advanced) <0.2m <19 km/h >500m Docks, lakes, bays
M3 (Vision) <0.3m <19 km/h >200m Coastlines, estuaries

Development Approach

Phase 1

Requirements & Architecture

Define system requirements, develop platform architecture, and establish safety protocols.

Phase 2

Prototype Development

Build and test initial TFV prototype with basic autonomy capabilities in controlled environments.

Phase 3

AI Integration

Implement advanced perception, behavior modeling, and planning algorithms using machine learning.

Phase 4

Field Testing

Extensive testing in real marine environments with iterative improvements and validation.

Research Team

Expertise in autonomous systems, AI, and environmental engineering

Diomidis Katzourakis

Principal Investigator & Project Lead

See about Diomidis Katzourakis for full bio and contact details.

Pierre Gourdain

Associate Researcher - Stakeholder Management & Compliance

10+ years building 200m$+ revenue organizations in technology and logistics. Former French Ministry of Environment. Leading stakeholder management and regulatory compliance efforts.

  • 📧 pierre.gourdain [at] gmail [dot] com
  • 🎓 IEP Paris Master's, INSEAD MBA
  • 🌍 Multilingual: English, German, French, Greek

Ernesto Sigalas

Lead Developer - TFV Prototype

Lead developer of the award-winning Trash Feaster Vessel prototype at Technical University of Crete. Successfully demonstrated autonomous waste collection capabilities in controlled environments.

Collaboration Network

WATER2030 emphasizes collaborative development with governmental and non-governmental organizations, academic institutions, and existing water surface cleaning industries. The vision is global deployment of TFV systems wherever suitable Autonomy Operation Spaces can be established.

Environmental Impact

Scalable solution for global water cleanup initiatives

Feasibility Example: Mediterranean Coastline

Parameter Target Value Impact
Coastline Coverage 46,000 km × 100m width 4,600 km² cleaning area
Fleet Size ~650 TFVs Complete coverage in 4 years
Total Mission Cost <40 million € Cost-effective large-scale deployment
Manufacturing Target <20k € per TFV Scalable production economics

Key Innovations

  • Generative AI Integration: Advanced behavior modeling and explainable decision-making
  • Open Source Platform: Collaborative development model for global adoption
  • Systems Engineering: Proven automotive industry methodologies applied to marine robotics
  • Cost Optimization: Designed for mass production and minimal operational costs
  • Environmental Focus: Wildlife-safe design with ecosystem preservation priority

🎯 Primary Targets

  • River mouths and estuaries
  • Ports and marina areas
  • Tourist coastal zones
  • Natura2000 protected sites

🔬 Research Applications

  • Microplastic monitoring
  • Water quality assessment
  • Marine ecosystem mapping
  • Pollution source tracking

🌍 Global Vision

  • Open-source technology platform
  • International collaboration
  • Scalable manufacturing
  • Policy framework development

State of the Art

Building upon existing solutions with advanced autonomy

Current Industry Solutions

🌊 The Ocean Cleanup

  • Interceptor solutions for rivers
  • Solar-powered conveyor systems
  • Barrier and tender combinations
  • Focus on large-scale operations

🤖 Ranmarine WasteShark

  • Predefined path following
  • SharkPod docking concept
  • Commercial deployment
  • Limited autonomy features

🦾 Academic Research

  • Computer vision for waste detection
  • LiDAR obstacle avoidance
  • ROS-based control systems
  • Limited real-world deployment

WATER2030 Advantages

  • Advanced AI Integration: Generative AI for behavior modeling and decision explanation
  • Automotive-Grade Engineering: Proven systems engineering from autonomous vehicle industry
  • Cost-Optimized Design: Target manufacturing cost enables large-scale deployment
  • Fault-Tolerant Architecture: Multiple redundancy levels for reliable autonomous operation
  • Open Source Approach: Collaborative development for global impact

Technical Implementation

Advanced perception, planning, and control systems

Perception System

🔍 Computer Vision

  • YOLO object detection
  • Semantic segmentation
  • Real-time waste classification
  • Marine environment adaptation

📡 Sensor Fusion

  • Multi-camera arrays
  • LiDAR for obstacle detection
  • Underwater sonar systems
  • GNSS + IMU localization

🎯 Target Detection

  • Surface plastic detection (4m range)
  • Semi-submerged waste (2m range)
  • 90% detection confidence
  • Microplastic filtering

Planning & Control

The TFV uses advanced path planning algorithms combining global route optimization with local obstacle avoidance. The system employs convex optimization techniques for real-time trajectory generation while maintaining compliance with maritime regulations (COLREGs).

Software Architecture

  • ROS Framework: Robot Operating System as the backbone
  • Machine Learning: PyTorch/TensorFlow for AI models
  • Real-time Control: Extended Kalman Filter for state estimation
  • Communication: High-bandwidth primary + RF backup
  • Simulation: Gazebo for development and testing

Operational Modes

Flexible operation from manual control to full autonomy

🎮

Manual Mode

Direct operator control via high-reliability radio interface for development and complex scenarios

🤝

Semi-Autonomous

Mixed control with operator override capabilities and waypoint adjustment for supervised operation

🤖

Autonomous Mode

Full autonomous operation with route planning, waste collection, and charging decisions

Day-in-the-Life Scenario

Mission Start

Area Selection & Route Planning

TFV receives mission dispatch via operator prompt, scheduled cleaning, or autonomous weather-triggered cleaning detection.

Navigation

Autonomous Route Execution

Optimized route considering static obstacles, charging needs, waste disposal, and energy from solar panels.

Collection

Waste Detection & Harvesting

Local path planning for maximum coverage, waste detection, and conveyor belt collection with wildlife protection.

Return

Autonomous Return to Base

Return to docking station for charging and waste disposal, or safe anchoring in case of system failures.

Future Vision

Collaborative autonomous systems for comprehensive marine cleanup

Beyond WATER2030, the vision extends to collaborative fleets of autonomous vessels working together with supporting infrastructure for comprehensive marine environment restoration.

Collaborative System Components

🚢 TFV Fleet

  • Multiple vessels working in coordination
  • Shared mission planning and execution
  • Dynamic task allocation
  • Swarm intelligence behaviors

🏭 TFPod Infrastructure

  • Autonomous floating base stations
  • Solar panel arrays for energy
  • Hydrogen generation capabilities
  • Multi-vessel docking and charging

🚁 TFDrone Scouts

  • Aerial waste detection and mapping
  • Real-time ocean monitoring
  • Fleet coordination support
  • Extended range reconnaissance

Global Impact Potential

With successful development and deployment, WATER2030 technology could be adapted for various marine environments worldwide, from river systems to coastal areas and eventually open ocean applications. The open-source approach ensures global accessibility and collaborative improvement.