Automated Guided Vehicles (AGVs) Solutions for Argoon

Our CTO (Luke Cole) previously worked for Hemisphere GPS (orginally called BEELINE, and now bought out by AgJunction) as a "Robotics Engineer" implementing auto-guidance solutions for various quadbikes and agriculture tractors that was used by 100's of vehicles around the world.

For 10 years, starting as a teenager in 1998 - Luke Cole has also worked for leading research institutes and companies such as NICTA (now called CSIRO Data61), CSIRO, Seeing Machines and ANU Robotics System Lab (lead by Alex Zelinsky, who received a rare prestigious AO award in 2017 and was Defence Scientist of Australia from 2012 for 6 years). Luke's work included various autonomous mobile robot projects, involving computer vision, and even a self-driving car early 2000's. Back then OpenCV and ROS didn't exist, so we did a "roll-your-own" called VisLib and DROS comprised of 364,578 lines of code.

Lance Cole has also worked at NICTA and has a background of various hardware development, such as working for a contract company to the US millary (EOS), building the Common Remotely Operated Weapon Station (CROWS).

We have a combined 50 years of extensive experience with Automated Guided Vehicle (AGV's). Including cars, tractors, quadbikes and other custom ground-based vehicles.

COLETEK's team all has a background in vehicle automation, which have built a wide range of skills and technologies such as:

• Autonomous Mobile Robots
• Simultaneous Localisation and Mapping (SLAM)
• Path Planning, Goal Recognition
• Collision Avoidance
• Pattern Recognition
• Object Recognition
• Object Tracking
• Genetic Algorithms
• Neural Networks
• Evolutionary Robotics
• Probabilistic Robotics
• Machine Learning
• Deep Learning
• Optical Flow, Point Clouds
• Stereo Active Vision, Panoramic Cameras, Fisheye Lens/Camera, Log-polar Camera, Time of Flight Cameras, Camera Array
• 3D Reconstruction
• Manipulator, Biped and/or Quadped locomotion
• Sensor Fusion: GPS, LIDAR, IR, Ultrasonic, Vision
• PID Controllers, Cascade Control Loops, Fuzzy Logic
• Bayesian Filters, Particle Filters, Kalman Filters, Monte Carlo Methods

These technologies can be used for various applications such as:

• Production Line Object Recognition
• Production Line Automation
• Licence Plate Recognition
• Asset Tracking
• Kid Tracking
• Pedestrian Tracking
• Face Recognition
• Load Haul Dump Automation
• Agriculture Automation
• Robot Lawn Mower
• Forklift Automation
• Floor Cleaning Robot
• Home Land Security Robots

Argoon businesses can streamline their operations and maximize efficiency with COLETEK's innovative Automated Guided Vehicles (AGVs) Solutions. Our team of experts has extensive experience deploying AGVs across diverse industries in regional and metropolitan environments. We understand the unique challenges of working in rural areas and can tailor our solutions to your specific needs.

From requirements capture to production-readiness planning, COLETEK offers a comprehensive range of services to support your AGV journey. Our collaborative approach involves regular design reviews and remote collaboration, ensuring seamless integration of these automated solutions into your existing workflows.

Our team has successfully completed numerous projects for clients across sectors, including agricultural, manufacturing, and logistics. We have a proven track record of delivering innovative solutions that optimize material handling, improve production efficiency, and reduce operational costs.

At COLETEK, we are committed to delivering tailored solutions that meet the specific needs of our clients. Our in-house prototyping lab enables us to rapidly iterate and refine our designs, ensuring optimal performance and reliability. We believe in open communication and transparency throughout the process, working collaboratively to achieve your business goals.

Let us help you harness the power of automation to transform your operations in Argoon. Contact COLETEK today to schedule a consultation and explore how our AGV Solutions can empower your business.