2017
The Open-Source AgriBot Platform
Our journey began with a clear mission: to create a versatile robotic platform capable of autonomous localization and navigation within agricultural environments. We designed the AgriBot to be lightweight and transportable, yet robust enough to span crop rows while carrying essential payloads like herbicide nozzles and cameras.
The development followed a rigorous three-phase approach: engineering the hardware, perfecting precise localization, and implementing fully autonomous navigation. What started as a joystick-controlled prototype evolved into a smart system capable of following complex field trajectories based entirely on sensor-driven mapping.
2019
Breakthroughs in Visual Navigation
To tackle the chaotic nature of real-world fields, we developed a novel navigation framework specifically for row crops. By utilizing visual servoing technology, this system processes feeds from on-board cameras to "see" the structured crop rows just as a human operator would.
This breakthrough allowed our robots to guide their movement accurately without relying on expensive external localization hardware or pre-existing maps. The result was a framework that enables precise row-following and smooth transitions between rows, significantly optimizing navigation efficiency in challenging agricultural environments.
2020
The Birth of BonnBot & Precision Intervention
Over four years of intensive research, we advanced our platforms to bridge the gap between data collection and physical action. Under the PhenoRob cluster, we developed "BonnBot," a system designed to intervene in the field in a minimally invasive way. By detecting and identifying individual plants, the robot creates a detailed weed map to treat specific targets with the most appropriate method, drastically reducing herbicide usage.
This project also integrated "digital avatars"—virtual models that predict plant nutrient demand and probable losses. This allowed our aerial and ground robots to apply nitrogen fertilizer with unprecedented precision, ensuring that crops receive exactly what they need, right when they need it.
2023
Starting DynamoBot
In late 2023, inspired by the success of BonnBot and our work with PhenoRob, we founded DynamoBot to bring these academic innovations to the market. We created a comprehensive precision farming tool that leverages robotics, AI, and computer vision to manage weeds using mechanical, chemical, and electrical methods simultaneously.
Unlike rigid single-purpose machines, our system is designed for flexibility. It is easily attachable to standard tractors or autonomous robots, enabling targeted, biodiversity-friendly weed control for both organic and conventional farming operations.
2024 - 2025
Validating the MVP & Partnering with Farmers
2025 is the year of rigorous validation. We are finalizing and testing DynamoBot #1 with a select group of early partner farmers who have committed via Letters of Intent. These real-world trials are crucial for optimizing our Minimum Viable Product (MVP) and ensuring it meets the rugged demands of daily farming.
This collaborative phase allows us to gather critical feedback and refine our Robotics-as-a-Service (RaaS) model before a wider rollout. By working directly with early adopters, we are demonstrating the tangible economic and environmental benefits of our technology, paving the way for a successful full-scale launch in 2026.
2026
Expansion & Investment
As we look toward the future, we are actively seeking investors to accelerate the deployment of our technology and revolutionize sustainable agriculture. With your support, we will scale our Robotics-as-a-Service model, making high-tech precision weed management accessible and affordable for farmers everywhere.
Investors joining us now will play a vital role in driving the agricultural sector toward a more efficient and high-yielding future. We offer substantial growth potential backed by strong market demand, extensive field testing, and a scalable business model that prioritizes both profitability and environmental stewardship.
