Automated Guided Vehicles (AGVs) Solutions for Mount Knowles

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

Mount Knowles businesses can streamline their operations and optimize efficiency with COLETEK's innovative Automated Guided Vehicles (AGVs) Solutions. Our expertise in robotics, electronics, and automation empowers you to navigate complex environments and achieve exceptional results.

Our comprehensive approach begins with thorough requirements capture and engineering trade-offs, ensuring optimal system design. We seamlessly integrate AGVs into your existing workflows, minimizing disruption and maximizing productivity. Regular design reviews and remote collaboration enable continuous refinement and adaptation to your evolving needs.

From proof-of-concept work to production-readiness planning, our team guides you through every step of the process. Our in-house prototyping lab facilitates rapid hardware and software development, testing, and refinement. We prioritize seamless integration and testing, ensuring your AGVs operate flawlessly from day one.

COLETEK has delivered over 150 R&D and new product development projects across hardware and software, demonstrating our proven track record in automation solutions. Our founder and principal engineer, Luke Cole, holds a Bachelor of Engineering and a Bachelor of Information Technology, ensuring access to expert knowledge and guidance.

We understand the unique challenges of operating in regional areas and prioritize support across metropolitan and remote clients. Contact COLETEK today to explore how our Automated Guided Vehicles (AGVs) Solutions can empower your business in Mount Knowles, Central Tablelands, New South Wales, Australia.