The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Humanoids
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Business
    • Financial
      • Investments
      • Mergers & Acquisitions
      • Earnings
    • Markets
      • Agriculture
      • Healthcare
      • Logistics
      • Manufacturing
      • Mining
      • Security
    • RBR50
      • RBR50 Winners 2025
      • RBR50 Winners 2024
      • RBR50 Winners 2023
      • RBR50 Winners 2022
      • RBR50 Winners 2021
  • Resources
    • Automated Warehouse Research Reports
    • Digital Issues
    • eBooks
    • Publications
      • Automated Warehouse
      • Collaborative Robotics Trends
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
  • Advertise
  • Subscribe

Kilter introduces AX-1 precision weeding robot

By Mike Oitzman | January 3, 2026

hero image of the Kilter AX-1 robot in a field.

The AX-1 is an in-row herbicide applicator that precisely places droplets of herbicide on weeds without touching the crop. | Credit: Anders Brevik

As farmers manage weed pressure, strict chemical regulations, and labor costs, Kilter AS has developed a technological approach to vegetable production. The Langhus, Norway-based company said it designed the AX-1 autonomous robot to apply herbicide in a way that will change how commercial growers manage their fields.

Kilter focuses on precision at the plant level

The AX-1 moves away from traditional “blanket spraying,” which treats entire fields regardless of weed density. Instead, Kilter’s system uses machine learning to identify individual weeds. By applying chemicals to specific targets, the AX-1 can reduce herbicide usage by 95%, claimed the company.

This targeted approach allows farmers to manage their land in environments where herbicide options are limited. The AX-1 identifies weeds while leaving crops untouched for a reduced chemical footprint.


SITE AD for the 2026 Robotics Summit save the date.

AX-1 designed to boost yield and sustainability

The AX-1 is designed to assist farmers in improving yield by reducing crop competition and avoiding growth delays caused by broad-spectrum chemical applications.

For the organic sector, the AX-1 provides a chemical-free weeding alternative, offering a solution to the manual labor required for organic vegetable production. The system is built to operate 24/7, providing a consistent workforce for conventional or organic farming operations.

Addressing inefficiencies in agronomy

Kilter said it developed the AX-1 to address specific challenges in weed control. The robot is completely autonomous as it navigates a row, identifies weeds, and applies the weed killers.

By integrating agronomy with autonomous robotics, the company said its system targets three primary areas:

  • Targeted application: Replacing broad methods with precise spot-treatment
  • Chemical management: Utilizing available chemicals through significant reduction
  • Labor automation: Automating manual weeding tasks
side view of the robot with the cover raised.

The AX-1 uses machine vision to identify weeds and then deploys a targeted sprayer. | Credit: Kilter

AX-1 specifications

  • Weight: 260 kg (~573 lb.) dry weight. Its lightweight design—roughly 10% the weight of a standard tractor and sprayer combination—prevents soil compaction and allows for operation on soft soils shortly after rain, said Kilter.
  • Tank capacity: 50 liters (~13.2 gallons). Due to its precision, this volume provides the same coverage as approximately 1,000 liters (~264 gallons) used by a conventional broadcast sprayer.
  • Precision targeting: 6×6 mm (~0.24 x 0.24 in.) accuracy. It uses patented Single Drop Technology (SDT) to apply micro-droplets of herbicide directly to the weed, avoiding the crop and surrounding soil.
  • Detection technology: The robot uses high-resolution sensors and AI-based deep learning neural networks to distinguish between crops and weeds in real-time.

Performance and operation

  • Operational speed: Approximately 1 hectare (~2.47 acres) per hour.
  • Herbicide reduction: Up to 95% reduction in chemical usage compared with broadcast spraying.
  • Runtime: Designed for 24/7 autonomous operation.
  • Compatible chemicals: Works with standard herbicides as well as environmentally friendly bio-herbicides such as pelargonic acid.

Kilter points to the future of farming

Kilter encourages growers to transition from traditional practices toward an autonomous, data-driven approach. It asserted that the AX-1 represents a shift toward a sustainable era of agriculture.

 

About The Author

Mike Oitzman

Mike Oitzman is Senior Editor of WTWH's Robotics Group and founder of the Mobile Robot Guide. Oitzman is a robotics industry veteran with 25-plus years of experience at various high-tech companies in the roles of marketing, sales and product management. Mike has a BS in Systems Engineering from UCSD and an MBA from Golden Gate University. He can be reached at [email protected].

Tell Us What You Think! Cancel reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Related Articles Read More >

Boston Dynamics' Atlas, the Automate showfloor, a RealSense chip, and the Roomba floor cleaner.
Top 10 most popular robotics stories of 2025
closeup of the LCM chip.
Programmable optics pioneer Lumotive opens new centers in Oman and Taiwan
Festo has developed its soft gripper to be sold as components, shown here, or as an entire system.
Festo designs HPSX compliant gripper to meet industry requirements
Drones and self-driving tractors are examples of autonomous machines using physical AI.
Is physical world AI the future of autonomous machines?

RBR50 Innovation Awards

“rr
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for Robotics Professionals.

Latest Episode of The Robot Report Podcast

Automated Warehouse Research Reports

Sponsored Content

  • Supporting the future of medical robotics with smarter motor solutions
  • YUAN Unveils Next-Gen AI Robotics Powered by NVIDIA for Land, Sea & Air
  • ASMPT chooses Renishaw for high-quality motion control
  • Revolutionizing Manufacturing with Smart Factories
  • How to Set Up a Planetary Gear Motion with SOLIDWORKS
The Robot Report
  • Automated Warehouse
  • RoboBusiness Event
  • Robotics Summit & Expo
  • About The Robot Report
  • Subscribe
  • Contact Us

Copyright © 2026 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Humanoids
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Business
    • Financial
      • Investments
      • Mergers & Acquisitions
      • Earnings
    • Markets
      • Agriculture
      • Healthcare
      • Logistics
      • Manufacturing
      • Mining
      • Security
    • RBR50
      • RBR50 Winners 2025
      • RBR50 Winners 2024
      • RBR50 Winners 2023
      • RBR50 Winners 2022
      • RBR50 Winners 2021
  • Resources
    • Automated Warehouse Research Reports
    • Digital Issues
    • eBooks
    • Publications
      • Automated Warehouse
      • Collaborative Robotics Trends
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
  • Advertise
  • Subscribe