Automated Guided Vehicles (AGVs) Solutions for Horseshoe Bend

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 Horseshoe Bend and the Lower Hunter Valley with innovative Automated Guided Vehicles (AGVs) Solutions. Our team of experts has extensive experience designing, developing, and deploying AGVs across diverse industries. We understand the unique challenges and opportunities of this region, and we tailor our solutions to meet your specific needs.

Our comprehensive services cover every stage of the AGV journey, from requirements capture and design decisions to prototyping, iteration, integration, testing, and production-readiness planning. We collaborate seamlessly with clients, leveraging remote technologies to facilitate effective communication and progress.

Whether you need to optimize material handling in a manufacturing facility or enhance product transportation in a warehouse, our AGVs can significantly enhance your operational efficiency. We have successfully delivered similar solutions to clients across sectors such as manufacturing, logistics, and healthcare.

Our commitment to innovation and collaboration ensures that you receive tailored solutions that meet your unique business objectives. We prioritize open communication and periodic design reviews to ensure your complete satisfaction throughout the process.

Let us help you harness the power of automation to streamline your operations and achieve remarkable results. Contact COLETEK today to schedule a consultation and explore how our AGVs can transform your business in Horseshoe Bend, Lower Hunter Valley, New South Wales, Australia.