CEO
Oliver Lamparth
Former Intel Executive · Technology Leader
Led autonomous systems from concept to deployment across automotive, robotics and defence. Founded and led global engineering organisations.
Simulation-first Robotics Deployment
From use case to an operational robot fleet — proven in simulation before a single robot is deployed.
Founded by former Intel executives with extensive experience in autonomous systems Strategic partner: Solectric — with an international network
The Problem
Robots, sensors and enterprise IT rarely speak the same language — integrating them requires specialized, multidisciplinary expertise.
Months of on-site trial and error, high upfront investment and disruption to live operations — with an uncertain ROI before anything is proven.
Closed stacks trade short-term convenience for long-term cost, rigidity and vendor dependency.
The RoboGarten Solutions
Two things, done right: best-fit hardware for your application, unified under one control layer and connected to your IT — on every screen your team works with.
Hardware solutions
Vendor-agnostic by design: we select, configure and integrate proven platforms from leading manufacturers — optimised for your application and total cost of ownership, never for vendor interests.
Operations solutions
A single operations layer for mixed fleets — mission planning, monitoring and analytics, integrated with your ERP and enterprise IT. The same experience across desktop, tablet, mobile and the control room — designed for rapid operator adoption.
The process
No black boxes, no guesswork. Everything is validated virtually before hardware is ordered — that's why simulation sits at the centre of the process.
We identify operational challenges and define clear, testable requirements.
Best-fit robotics and sensors — vendor-agnostic and optimised for total cost of ownership.
Your facility, modelled and tested as a digital twin — layouts, missions and edge cases validated before deployment begins.
AI-assisted training adapts the system to your environment, processes and workflows.
Integration into live operations — enterprise IT connectivity, security and safety by design.
Support, upgrades and fleet management — robots deployed across new use cases and locations.
Industries
The same simulation-first methodology, applied wherever robotics creates real operational value.
Autonomous inspection · Critical infrastructure monitoring · Vegetation management
From autonomous line inspection to critical infrastructure protection and vegetation management, robots support the entire grid — faster than manual crews, without outages.
Discuss a use case →Thermal inspection · Security & perimeter monitoring · Robotic cleaning
From thermal inspection to perimeter security and robotic cleaning, robots keep solar parks productive, protected and operational — at utility scale and with minimal human intervention.
Discuss a use case →Hazardous-area inspection · Security monitoring · Maintenance without shutdowns
From hazardous-area inspection to security monitoring and maintenance without shutdowns, robots take on high-risk tasks — protecting personnel and monitoring remote assets around the clock.
Discuss a use case →Autonomous logistics · Patient monitoring · Disinfection
Robots take over logistics, patient monitoring and disinfection — giving healthcare teams more time for what matters most: patient care.
Discuss a use case →Crop monitoring · Precision spraying · Autonomous field logistics
Drones and ground robots monitor crops, apply treatments with precision and support harvest logistics — improving yields while reducing input usage and labour requirements.
Discuss a use case →Progress documentation · Site monitoring · Autonomous material logistics
Robots document construction progress, monitor large sites for safety and security, and automate material logistics — improving productivity on complex projects.
Discuss a use case →Event & public safety · Public-space patrol · Search & rescue
From major events to transport hubs and search-and-rescue operations, robots extend the reach of responders — providing real-time situational awareness where resources are limited or risks are elevated.
Discuss a use case →Reconnaissance · Autonomous logistics · Border & perimeter surveillance
Autonomous vehicles and drones support reconnaissance, logistics and border surveillance — extending operational reach while reducing personnel exposure in high-risk environments.
Discuss a use case →// Supporting additional industries on request.
The Founders
Two former Intel senior leaders — each with more than 25 years of experience in autonomous systems, cloud platforms and global engineering organisations.
CEO
Former Intel Executive · Technology Leader
Led autonomous systems from concept to deployment across automotive, robotics and defence. Founded and led global engineering organisations.
CTO
Former Intel Engineer · Software & Systems Leader
Scaled cloud and systems platforms from PoC to production. Led cross-functional engineering and architecture teams across multiple continents.
Partnership & reach
Strategic Partner · Robotics Experts
Through our partnership with Solectric — a leader in robotics and industrial automation — RoboGarten supports deployments across Europe, Asia and South America.
Get Started
Energy infrastructure
01 / 08From autonomous line inspection to substation security and vegetation management, robotics support the entire grid — faster than manual crews and without outages.
Autonomous inspection · Substation monitoring · Vegetation management
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
Thousands of kilometres of overhead line must be inspected regularly — in terrain where ground crews cannot operate safely or efficiently. Traditional inspection creates operational bottlenecks and high personnel risk.
Substations and transmission assets are increasingly targeted by metal theft, vandalism and deliberate sabotage. Sprawling, often unmanned sites cannot be watched continuously by human patrols — leaving critical energy infrastructure exposed between inspection rounds and slow to detect intrusions.
Any inspection method requiring line de-energisation creates cascading operational and financial consequences. Robotics must operate around live infrastructure with no margin for error.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Autonomous UAV fleets fly transmission corridors with high-resolution and thermal sensors, detecting conductor faults, insulator damage and hotspots. This directly tackles inaccessible infrastructure at scale — covering terrain crews cannot reach safely or efficiently — while respecting zero tolerance for outage-causing interventions, since drones inspect live lines without any de-energisation. Every flight is validated against a 3D corridor twin before a single drone is deployed.
Ground robots patrol substations around the clock on pre-validated routes — reading gauges, scanning for thermal anomalies and logging the condition of high-voltage assets. This continuous autonomous presence directly addresses vandalism and attacks on critical infrastructure. The robot detects intruders, metal theft and early signs of sabotage or terrorist activity between human patrol rounds, protecting sprawling, unmanned sites that cannot be watched continuously. Simulation confirms safe navigation between live equipment before commissioning.
Autonomous platforms survey right-of-way corridors to detect vegetation encroachment and storm damage before it threatens the line — pre-empting the outage-causing faults that vegetation contact creates. By reaching remote, inaccessible stretches of corridor at scale, they remove the bottleneck of manual walkthroughs. AI classification flags priority zones and assesses fallen trees and debris after severe weather, directing crews precisely where they are needed.
Solar energy
02 / 08From thermal performance analytics to perimeter security and robotic cleaning, robots keep solar parks productive, protected and operational — at utility scale, with minimal human intervention.
Thermal inspection · Security monitoring · Robotic cleaning
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
Soiling, cell degradation, hotspots and equipment faults quietly erode energy production — and every lost kilowatt-hour cuts straight into project profitability. Without panel-level visibility, these losses accumulate long before they become obvious.
Large solar parks are exposed to theft, vandalism, unauthorised access and deliberate damage to high-value assets — particularly across remote, unmanned sites that human patrols cannot watch continuously.
Operators must inspect, clean and maintain hundreds of thousands of modules while holding down labour costs, water consumption and site visits. Manual O&M simply does not scale to utility-sized parks.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Autonomous drones carrying thermal and visual sensors sweep the entire park in a single mission, pinpointing hotspots, defective modules and underperforming strings at panel level. This directly addresses asset performance and yield loss — catching degradation before energy losses accumulate.
Drones and ground robots provide continuous surveillance across the site, detecting intrusions, vandalism, theft attempts and fire risks in real time. This addresses critical infrastructure security across remote, unmanned sites that human patrols cannot cover around the clock.
Autonomous cleaning robots keep modules at peak output while cutting water consumption, manual labour and operational downtime — delivering the cost-efficient operations and maintenance required by utility-scale solar parks.
Energy extraction & processing
03 / 08From hazardous-area inspection to security monitoring and shutdown-free maintenance, robots take on the most dangerous work — keeping personnel out of harm’s way while monitoring sprawling, remote assets around the clock.
Hazardous-area inspection · Security monitoring · Shutdown-free maintenance
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
Refineries, offshore platforms, tank farms and processing facilities expose personnel to explosive atmospheres, toxic gases, confined spaces and high-risk operating conditions. Every human intervention is a managed risk event.
Pipelines, refineries, storage terminals and offshore assets must be monitored continuously against intrusion, theft, vandalism and sabotage. These facilities are vast, often remote and increasingly targeted — too large for human patrols to monitor continuously.
Operators must inspect and maintain critical assets in hazardous or hard-to-access environments while avoiding costly shutdowns and keeping personnel exposure to a minimum.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Quadruped robots and autonomous inspection platforms run routine inspections in ATEX/Ex zones — reading gauges, detecting anomalies and collecting operational data without exposing people to risk. This directly answers personnel safety in hazardous environments, taking humans out of the most dangerous routine tasks.
Autonomous drones and robotic patrol systems provide continuous surveillance of pipelines, tank farms, refineries and offshore facilities — detecting intrusions, vandalism, theft attempts and security incidents in real time. This answers critical infrastructure security and asset protection: robots watch vast, sprawling sites 24/7, covering significantly more ground than human teams at a fraction of the cost of round-the-clock patrols.
Drones, climbing robots and specialised inspection systems reach elevated, confined or hazardous structures to inspect equipment, detect defects and support maintenance planning — enabling inspection and maintenance without shutdowns or scaffolding.
Clinical & hospital environments
04 / 08Robots take over logistics, routine monitoring and disinfection — giving nurses and doctors more time for what matters most: caring for patients.
Autonomous logistics · Routine monitoring · Disinfection
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
Hospitals face a chronic shortage of nursing and care staff — yet those scarce teams spend hours each shift transporting medication, linen, samples and supplies. Every hour lost to logistics is an hour not spent at the patient's side.
Wards need continuous observation and routine rounds, but understaffed teams cannot be everywhere at once. Repetitive monitoring tasks pull skilled clinicians away from the patients who most need their judgement.
Clinical environments demand rigorous, repeatable disinfection between every occupancy. Manual cleaning is labour-intensive and inconsistent — and any lapse becomes a contamination risk for vulnerable patients.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Autonomous mobile robots move medication, linen, lab samples and consumables between departments, navigating corridors and elevators on routes validated in a digital twin of the building. This directly answers the staff shortage and lost care time — giving nurses more time to focus on patient care.
Robots take on routine rounds and environmental, asset and corridor monitoring — flagging anomalies and feeding live status to staff. By absorbing the round-the-clock monitoring burden, they allow clinicians to focus on the patient observation and care that only people can provide.
UV-C and disinfection robots systematically treat patient rooms, operating theatres and high-touch areas between occupancy periods — delivering the consistent, repeatable hygiene that infection control demands, without adding to staff workload. Simulation validates coverage and shadow zones before clinical commissioning.
Precision farming
05 / 08Drones and ground robots monitor crops, spray with precision and move the harvest — working 24/7 to address labour shortages and increase yields with fewer inputs per hectare.
Crop monitoring · Precision spraying · Field logistics
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
Agricultural labour is declining across Europe and Asia, and skilled operators are increasingly hard to recruit. Planting, spraying, scouting and harvest windows that once relied on large seasonal crews can no longer be reliably staffed — and crops do not wait for a shift to start.
Spraying, scouting and harvest must happen within narrow, weather-bound windows — often needing work day and night. Human crews cannot sustain round-the-clock operation, whereas robots can run 24/7 and cover far more ground per season.
Blanket spraying wastes inputs and attracts regulatory pressure, while fungal disease, drought stress and pests spread before symptoms are visible to ground observers. Both demand frequent, field-level data that manual scouting cannot deliver.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Ground robots and drones survey fields with multi-spectral, thermal and visual sensors, producing plant-level health maps that surface disease pressure, drought stress and irrigation deficits. Running day and night, they address over-application and late detection through continuous monitoring that no manual scouting team could sustain.
Autonomous spray drones apply pesticides, herbicides or fertiliser at variable rates derived from field-health maps, treating only the zones that need it. This cuts over-application of inputs and cost while protecting yield — and runs within the tight weather windows that human crews struggle to hit.
Autonomous transport robots move crates, produce and supplies between field and packhouse, running continuously through peak harvest. By taking on the heavy, repetitive hauling 24/7, they directly offset the shortage of skilled & seasonal labour and the workload modern farming demands.
Building & civil engineering
06 / 08Robots document build progress objectively, watch sprawling sites for safety and security, and move material around the clock — supporting crews on complex construction sites amid ongoing labour shortages.
Progress documentation · Site monitoring · Material logistics
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
On large, complex sites, build progress is documented by manual walkthroughs with partial visibility — so schedule deviations surface weeks too late. Objective, repeatable scanning is needed to replace subjective assessment with data.
Construction is among the most hazardous trades — heavy, physical work amid unstable structures and restricted zones. Sprawling sites are also hard to watch for safety compliance, theft and intrusion around the clock.
A shortage of skilled trades, combined with heavy, repetitive material movement across large sites, strains crews and slows the build. Misplaced materials and double-handling cause cascading delays across every trade.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Autonomous ground robots and drones scan the site at defined intervals, generating precise 3D point clouds and orthophotos. Compared against the BIM model, they calculate build progress objectively and flag deviations early — answering slow, inaccurate progress documentation across large, complex sites.
Legged and wheeled robots patrol the site on validated routes — checking access-zone compliance, detecting intrusions and logging structural and safety sensor data. This answers dangerous work & hard-to-secure sites, watching sprawling areas around the clock and keeping people out of hazardous zones.
Autonomous transport robots move materials, tools and equipment between staging areas and work zones, sequenced to the build plan. By taking on heavy, repetitive hauling, they ease the skilled-labour shortage and heavy material handling — freeing skilled trades for the work only they can perform.
Emergency response & security
07 / 08From crowded events to transit hubs and search-and-rescue in open terrain, robots extend the reach of responders — delivering real-time situational awareness where personnel are too few, too far away, or exposed to elevated risk.
Event & crowd safety · Public-space patrol · Search & rescue
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
Major events and busy public spaces concentrate thousands of people into areas that limited security teams cannot fully observe. Spotting incidents, bottlenecks and threats early demands more eyes than human staff alone can provide.
Stations, terminals and public areas must be watched continuously, day and night. Human guard forces are costly and fatigable, with limited sensory coverage in low light and adverse conditions.
Search and rescue across forests, mountains or disaster zones is time-critical and resource-intensive. Covering large, inaccessible areas on foot costs the very hours that decide outcomes.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Autonomous ground robots patrol event sites and crowded public spaces, streaming live thermal and optical video to a command post. They extend the reach of security teams — addressing the challenges of securing large crowds and public events with a calm, continuous presence and early detection of incidents and bottlenecks.
Legged and wheeled robots patrol stations, terminals and public areas around the clock — detecting anomalies, deterring incidents and escalating to human operators. This addresses the challenge of patrolling public spaces and transit hubs without the cost and fatigue limits of human guard forces.
Autonomous drones cover forests, mountains and disaster zones in coordinated search patterns, compressing initial area coverage from hours to minutes. Thermal signatures are flagged and coordinates passed to ground teams — directly addressing search-and-rescue operations in complex terrain.
Military & defence applications
08 / 08Autonomous vehicles and drones support reconnaissance, resupply and the surveillance of borders and large perimeters — reaching contested, hard-to-access terrain and watching wide areas around the clock, while keeping personnel out of harm's way.
Reconnaissance · Autonomous logistics · Border surveillance
Deployment challenges
The friction points we solve — identified across real deployment attempts in this sector.
Building a situational picture in contested or denied areas often means moving people and vehicles into terrain that is dangerous or hard to reach. Autonomously controlled platforms can drive into and observe such ground — operating where crews cannot safely follow.
Getting medical supplies, ammunition and other materiel to the right place fast can be decisive, yet crewed last-mile resupply faces IED, ambush and terrain risk. Autonomously driven ground vehicles can carry the load into contested zones without putting a crew at risk.
Borders, bases and forward locations span vast areas that must be watched continuously, day and night. Static posts and patrols cannot cover every metre — reliable, round-the-clock surveillance of large zones needs more reach than people alone can provide.
Use cases
Simulation-validated use cases. Each one begins with a digital twin of your environment — before any hardware is specified.
Uncrewed aerial and ground platforms run intelligence, surveillance and reconnaissance missions on validated waypoint plans, streaming EO/IR imagery and terrain data to command in real time. This answers reconnaissance in contested terrain — putting eyes on dangerous, hard-to-reach ground without exposing personnel.
Autonomously driven ground vehicles resupply forward positions with medical supplies, ammunition and other materiel, on routes validated in terrain simulation. Autonomous vehicle and platform operations are core to our expertise — answering battlefield logistics under threat and taking crews off high-threat resupply runs.
Patrol robots and fixed sensor networks watch borders, base and forward-location perimeters around the clock — detecting intrusions, tracking targets and cueing response forces through one command interface. This answers securing borders & large perimeters, helping operators monitor large areas reliably, 24/7.
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Last updated: June 2026.