AquaMesh / v0.3 · pre-alpha
A Distributed Aquatic Remediation System

AquaMesh

Autonomous, persistent cleanup for dynamic ocean environments. A swarm of cooperating systems built for the open sea.

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02The problem

Plastic in the open ocean is distributed, not concentrated.

Marine debris doesn't gather in tidy islands. It drifts in patchy, dynamic fields across thousands of kilometers — heterogeneous in size, shape, and buoyancy. The largest mass sits in macroplastics and ghost nets; the largest count sits in fragments too small to chase. Both problems live in the same water.

Subtropical accumulation zones
live drift estimate
Subtropical gyres
5
zones of persistent accumulation
Mass dominated by
Macro
ghost nets, large floating debris
Count dominated by
Micro
fragments under 5mm
Spatial behavior
Patchy
dynamic, current-driven
03Existing approaches

Each current method solves one piece — none solve the whole.

Upstreamscale 0.0001×

River interception

Highly effective at preventing future ocean pollution. Does not address legacy debris already offshore.

Centralizedscale 1×

Single offshore systems

Capable in narrow conditions. Limited adaptability to spatially dynamic debris fields. Service-intensive.

Localscale 0.001×

Harbor / lake robots

Excellent in sheltered conditions. Not built for offshore survivability or scale.

Scale mismatch is the recurring failure. A single device facing a planetary-scale, dynamic field is structurally outmatched — regardless of how well it performs locally.

04Core insight

Distributed problems
require distributed solutions.

The ocean is not a static system. A static device cannot track a moving field. A swarm can — partitioning area, sharing observations, converging on patches as they appear, and dispersing again when they don't.

Single systemfails
cannot reach both fields
Distributed swarmadapts
partitions and converges
05System architecture

Four cooperating layers, one mesh.

AquaMesh is a hierarchical remediation network. Each layer has a narrow mandate and well-defined constraints. Together they form an adaptive operational fabric.

L1DetectionL2High-massL3LocalizedL4Operational
node.mesh / 4-layer architecture
L2 · High-mass extraction

Macroplastic Recovery

Large, durable collectors capture ghost nets and macroplastics. Operating semi-passively with currents, they target the highest-mass fraction first — the source of most ecological damage.

Operational constraints
  • ·sea-state survival ≥ S5
  • ·non-fragmenting capture
  • ·scheduled offload cycles
06Operational loop

A continuous cycle, not a campaign.

Cleanup is not a single event. AquaMesh operates in iterative cycles, with verification and reassessment built into the loop itself.

0102030405OPERATIONAL · LIVESurveyphase 1 / 5 · 0%

Continuous cycle · the drone never stops

07Interactive simulation

Watch the swarm behave.

Live simulations of swarm behavior and strategy comparison. Adjust parameters and observe how distributed coordination changes coverage and recovery.

SIM_A · agent behavior

SIM_A · swarm.behavior
debris
searching
pursuing
collecting
live · status
Field cleared. Swarm enters search pattern, awaiting new debris.
search 0%pursue 0%collect 0%debris 0
Agents40
Detection radius70m
Energy / speed80%
Area covered
0%
Debris collected
0

Hover any agent to inspect its current task and target distance. Lines indicate active pursuit.

SIM_B · strategy comparison

Side-by-side · same debris field
debrisagentcovered
SYS_C · centralized1 unit · 220m sense
Time
0s
Coverage
0%
Recovered
0%
SYS_D · distributed18 agents · partitioned
field partitioned · 6×3
Time
0s
Coverage
0%
Recovered
0%
live · analysis

Both systems initializing — debris field seeded with four discrete patches.

centralized recovery → 0%
distributed recovery → 0%
08Engineering reality

Constraints define the design.

AquaMesh is built from the constraints inward. These are the physical and operational limits the system must respect.

Constraint

Energy

Solar is supplemental, never sufficient. Endurance is power-bound.

Constraint

Comms

Intermittent satellite links demand high autonomy and tolerant protocols.

Constraint

Mechanics

Debris is irregular, deformable, entangling. Capture must avoid jamming and fragmentation.

Constraint

Sea state

Wave loading and current variability dictate hull form, mooring, and station-keeping.

Constraint

Corrosion & UV

Materials degrade rapidly without continuous service intervals.

Constraint

Biofouling

Sensors and intakes drift from spec within weeks if untreated.

09Environmental responsibility

The cleanup must not become the problem.

Surface ecosystems are real. Bycatch is real. AquaMesh treats environmental safety as a primary design constraint, not a downstream concern.

surface · neustonliving organisms · faint green · drifting
life
debris

"Do not solve one problem by creating another."

preserve

Neuston layer

The thin film of life at the ocean surface — siphonophores, eggs, larvae. Capture mechanisms must avoid harvesting it alongside debris.

release

Bycatch risk

Ghost gear is itself a bycatch generator. Recovery operations must distinguish entangled life and prioritize release pathways.

contain

Redistribution

Poorly designed systems fragment macroplastic into microplastic. Capture must preserve debris integrity until offload.

Every capture mechanism, every sweep pattern, every deployment cycle is evaluated against the surface ecosystem first. A cleanup system that harms the neuston layer is not a cleanup system — it is a different kind of damage.

10Roadmap

Progressive validation, not full-scale leaps.

Each phase must demonstrate measurable success before the next begins. Real-world data drives every gate.

P1Y1

Controlled Testing

Tank and harbor trials. Sensor calibration, capture mechanism iteration, neuston-impact baselines.

P2Y2

Coastal Deployment

Sheltered-water deployments. Multi-unit coordination, biofouling endurance, full operational loop.

P3Y3–Y4

Offshore Trials

Open-ocean pilots adjacent to convergence zones. Survivability across sea states, satellite ops cadence.

P4Y5+

Scaled System

Persistent operation in subtropical gyres. Partner-operated logistics. Measurable mass reduction.

11Feasibility & cost

Grounded. Buildable. Modular.

A single research-grade prototype lands inside a small-grant budget. The architecture scales horizontally — every additional unit shares the same bill of materials and software stack.

Prototype cost · single unit
$17k – $34k
Hardware
≈ 65%
hull · sensors · actuation
Software
≈ 15%
perception · control · comms
Testing
≈ 20%
trials · iteration · service

Excludes researcher time and offshore deployment overheads. Phase-1 targets harbor and sheltered-water trials.

Line items · indicative ranges
Hull, frame & buoyancy$3k–$6k
Propulsion & actuation$2.5k–$5k
Sensing & vision stack$3k–$7k
Compute & comms$2k–$4k
Power & energy harvesting$2.5k–$5k
Capture mechanism$2k–$4k
Materials, fasteners, contingency$2k–$3k
modular scaling

The prototype is one node of many. Marginal unit cost falls with volume; a fleet of 50 shares logistics, software updates, and service infrastructure across the same fixed overhead.

×1
$25k avg
×10
~$18k/unit
×50
~$12k/unit
12Closing statement

The ocean is not a static system.
Effective cleanup must be dynamic,
adaptive, and persistent.

13 · Contribute

Help bring AquaMesh
to life.

AquaMesh is an open research initiative. We're looking for collaborators in marine engineering, robotics, ML, and oceanography — and for institutional partners to host trials.