Automated Guided Vehicles (AGVs) Solutions for Prairiewood

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 Prairiewood, Sydney, New South Wales, Australia, to harness the transformative power of automation through our innovative Automated Guided Vehicles (AGVs) Solutions. Our team of experts has extensive experience guiding clients through every step of the process, from initial discovery and design decisions to prototyping, iteration, integration, testing, and production-readiness handover.

Our comprehensive approach ensures seamless collaboration, whether working remotely or engaging in periodic design reviews with clients across regional and metropolitan areas. We understand the unique challenges of deploying AGVs in various environments and industries, and we tailor our solutions to your specific needs and deployment scenarios.

Leveraging our in-house prototyping lab, we rapidly iterate on designs and refine prototypes to meet your evolving requirements. Our engineers excel in requirements capture, engineering trade-offs, integration planning, and testing and iteration, ensuring a seamless transition from concept to deployment.

COLETEK has a proven track record of delivering successful AGV projects for clients across industries. We have received recognition for our innovative products and solutions, and our founder, Luke Cole, has contributed to industry-leading initiatives like the Robotics Roadmap for Australia.

Contact COLETEK today to explore how our Automated Guided Vehicles (AGVs) Solutions can optimize your operations and drive efficiency across your business in Prairiewood, Sydney, New South Wales, Australia.