Automated Guided Vehicles (AGVs) Solutions for Numeralla

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

COLETEK understands the unique challenges faced by businesses in Numeralla, Snowy Mountains, New South Wales, Australia, when it comes to optimizing their operations. Our Automated Guided Vehicles (AGVs) Solutions offer a seamless and efficient way to automate material handling tasks, improving productivity and freeing your team for more strategic work.

Our experienced team will collaborate with you to understand your specific needs and requirements. We can assist with everything from requirements capture and design decisions to prototyping, iteration, integration, testing, and production-readiness planning. We also offer periodic design reviews and support across regional and metropolitan clients.

Whether you need to streamline production processes, optimize warehouse logistics, or enhance material handling efficiency, our AGVs Solutions are tailored to meet your unique requirements. We have successfully delivered similar projects for clients in industries such as manufacturing, healthcare, and logistics.

At COLETEK, we are driven by innovation and a commitment to delivering exceptional results. Our founder and principal engineer, Luke Cole, has over 25 years of experience in robotics, electronics, embedded systems, AI, and product development. We are a trusted partner for businesses seeking to harness the power of automation to achieve operational excellence.

Contact us today to schedule a consultation and explore how COLETEK can help you optimize your operations with Automated Guided Vehicles (AGVs) Solutions in Numeralla, Snowy Mountains, New South Wales, Australia.