Automated Guided Vehicles (AGVs) Solutions for Gilmore

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

Gilmore, Tuggeranong, and the surrounding areas present unique logistical challenges for businesses. Whether you operate in manufacturing, warehousing, or distribution, optimizing material flow and efficiency is crucial for success. COLETEK's Automated Guided Vehicles (AGVs) Solutions offer a practical and reliable way to streamline your operations and maximize productivity.

Our team of experienced engineers will collaborate with you to understand your specific needs and challenges. We'll then work together to develop a customized solution that includes requirements capture, engineering trade-offs, integration planning, testing, and production-readiness planning. We can also facilitate remote collaboration and periodic design reviews to ensure your satisfaction throughout the process.

COLETEK has a proven track record of delivering successful AGV projects across various industries. We have collaborated with clients across regional and metropolitan areas, supporting their journey from concept to deployment. Our in-house prototyping lab enables us to rapidly iterate and refine your solution, ensuring it meets your expectations.

By leveraging AGVs, you can: * Automate repetitive tasks and free up your workforce for more strategic initiatives. * Improve material handling efficiency and reduce labor costs. * Enhance product quality and consistency through precise movement. * Increase warehouse and production space utilization.

Contact COLETEK today to discuss how our Automated Guided Vehicles (AGVs) Solutions can empower your business in Gilmore, Tuggeranong, and the Australian Capital Territory. Let's build something remarkable together.