Restoration of upper slopes using the DREVO robotic system

Restoration of upper slopes using the DREVO robotic system

Technical proposal for finding partners

DREVO Mountain Slope Restoration System (MSRS)

Autonomous robotic system for upper slope restoration

Concept

Upper slopes are the most vulnerable part of the mountain ecosystem. This is where erosion begins, gullies form, soils disappear, spring water supply deteriorates, and the risk of landslides and wildfires increases.

Traditional restoration methods have serious limitations. Most work is done manually, requires a large number of personnel, and is often impossible in steep, rocky, and inaccessible areas.

DREVO Mountain Slope Restoration System (MSRS)offers a comprehensive robotic technology for upper slope restoration that combines autonomous machines, artificial intelligence, digital mapping, drones, and ecological methods to create sustainable mountain landscapes.

Project goals

Creation of a fully integrated system capable of automatically performing the main stages of restoration of degraded slopes:

survey of the territory;

construction of a digital model;

hydrology analysis;

formation of microrelief;

construction of cascades;

erosion control;

soil restoration;

planting plants;

maintenance of young plantings;

condition monitoring.

Main tasks

The system is designed to restore:

degraded mountains;

burnt slopes;

eroded areas;

landslide areas;

abandoned agricultural slopes;

mountain pastures;

watershed zones;

territories after mining.

Architecture of the complex

1. TREE AeroSense Drone

Aerial reconnaissance.

Functions:

LiDAR;

photogrammetry;

multispectral imaging;

thermal imaging analysis;

erosion mapping;

humidity determination;

search for springs;

vegetation analysis;

construction of a digital elevation model.

2. DREVO Mountain Rover

Basic autonomous robot.

Functions:

movement on steep slopes;

work on stones;

minimum ground pressure;

autonomous navigation;

replaceable equipment.

Possible options:

electric;

hybrid;

cable;

crawler;

walking module for particularly difficult terrain.

3. DREVO Cable Assist

On steep slopes, the robot is additionally secured with a system of ropes.

Upper station:

electric winch;

intelligent tension control;

energy recovery during descent.

Advantages:

reduction of ground pressure;

work on extreme slopes;

equipment safety.

Set of replaceable modules

Earth Module

Formation of relief.

Performed by:

microterrace;

planting cups;

cascade;

water-retaining pockets;

microshafts;

distribution channels.

Stone Module

Working with stone.

Forms:

stone crescents;

contour lines;

strengthening of gullies;

dry retaining structures;

stone cascades.

Uses local material.

Soil Module

Soil restoration.

Performed by:

loosening;

mixing the substrate;

biochar application;

compost;

minerals;

mulch.

Bio Module

Biological restoration.

Works:

introduction of local mycorrhiza;

soil microorganisms;

biological preparations;

seeds;

hydroseeding;

biomat.

Plant Module

Automatic landing.

Possibilities:

tree planting;

shrubs;

herbs;

groundcover plants.

Each landing is accompanied by:

GPS coordinates;

digital passport;

QR identifier;

recording in Mountain Digital Twin.

Water Module

Forms a water management system.

Creates:

infiltration pockets;

cascading bowls;

emergency overflows;

water distributors;

Mountain Sponge elements.

Mist Module

Integration with DREVO Cloud & Mist System.

Functions:

installation of fogging modules;

installation of pipelines;

injector maintenance;

tank inspection.

Fire Module

Fire protection infrastructure.

Creates:

mineralized stripes;

fire tanks;

drone platforms;

water intake points;

service lines.

Recovery sequence

Stage 1

Laser scanning.

Creation of a digital model.

Stage 2

AI analyzes:

slopes;

watershed;

erosion;

wind;

snow;

fire risk.

Stage 3

A digital restoration project is being developed.

Stage 4

Robots create:

microterrace;

cascade;

landing pockets.

Stage 5

The soil is being restored.

Stage 6

Plants are being planted.

Stage 7

Sensors are being installed.

Stage 8

Long-term monitoring begins.

Use of artificial intelligence

DREVO AI calculates:

optimal trajectory of movement;

soil stability;

safe zones;

volume of excavation work;

volume of stone structures;

hydrological balance;

plant placement;

ecosystem development.

Each subsequent slope becomes a teaching example for the entire system.

Integration with other DREVO projects

The system works in conjunction with:

DREVO Mountain Sponge;

Mountain Springs Recovery;

Mountain Forest Corridors;

DREVO Cloud & Mist System;

Living Mountain Observatory;

TREVO AeroSense Drone;

Mountain Digital Twin;

WOOD BioFire System.

This creates a unified digital ecosystem for mountain restoration.

Potential areas of application

Alps;

Atlas Mountains;

Pyrenees;

Carpathians;

Balkan;

Caucasus;

Himalayas;

Andi;

degraded slopes of the Mediterranean;

areas after forest fires;

national parks;

catchment areas;

hydropower facilities.

Potential partners

The project is open for collaboration with:

robotics manufacturers;

universities;

research institutes;

automation companies;

manufacturers of construction equipment;

developers of artificial intelligence systems;

environmental organizations;

forest services;

government agencies;

international funds;

investors in climate technologies.

Of particular interest are partners with experience in autonomous mobile technology, high-precision positioning, machine vision, Earth remote sensing, and landscape restoration.

The next stage of the project

We propose creating an international pilot site of 5-20 hectares, which will combine:

DREVO robotic platforms;

TREVO AeroSense Drone;

DREVO Cloud & Mist System;

Living Mountain Observatory;

Mountain Digital Twin.

The goal of the pilot project is to validate the feasibility of automated upper slope restoration with minimal human intervention, reducing costs, and creating a scalable technology for use in mountainous regions worldwide.

Conclusion

Restoring mountain ecosystems is becoming a key challenge in climate change adaptation. Autonomous robotic equipment makes it possible to carry out work where traditional methods are too dangerous, expensive, or practically impossible.

DREVO Mountain Slope Restoration Systemcombines robotics, artificial intelligence, digital models, hydrology, and ecological engineering into a single platform designed for long-term upper slope restoration, watershed protection, landscape resilience, and biodiversity conservation.

We invite robotics manufacturers, scientific organizations, environmental foundations, government agencies, and technology companies to join us in creating a new international platform for mountain ecosystem restoration.