Automated Guided Vehicles (AGVs) Solutions for Pine Valley

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

At COLETEK, we empower businesses in Pine Valley and the Snowy Mountains region with innovative Automated Guided Vehicles (AGVs) Solutions. Our expertise spans the entire lifecycle of your project, from initial discovery and design decisions through prototyping, iteration, integration, testing, and production-readiness planning.

Our team of experienced engineers will collaborate with you remotely, leveraging their deep understanding of automation technology and local logistics challenges. We have successfully supported clients across regional and metropolitan areas, tailoring our approach to their unique deployment environments and industry requirements.

Whether you require proof-of-concept work, prototype refinement, design reviews, or technical feasibility assessments, COLETEK is your trusted partner. We maintain an in-house prototyping lab to expedite hardware and software development, testing, and refinement. Our comprehensive approach ensures seamless integration of AGVs into your existing workflows.

We understand the importance of reliable and efficient automation solutions in the Snowy Mountains region. Our solutions are designed to optimize your operational efficiency, reduce labor costs, and enhance productivity. We have a proven track record of delivering innovative AGV technologies that meet the highest standards of engineering and safety.

Contact COLETEK today to discuss how our Automated Guided Vehicles (AGVs) Solutions can transform your business in Pine Valley, Snowy Mountains, New South Wales, Australia. Let's build something remarkable together.