Automated Guided Vehicles (AGVs) Solutions for Kaleen

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 Kaleen, Canberra, Australian Capital Territory, Australia, in optimizing their operational efficiency through automation. Our Automated Guided Vehicles (AGVs) Solutions leverage advanced robotics and sensor technology to automate material handling tasks, freeing your workforce for more strategic and creative endeavors.

We collaborate closely with clients from initial requirements capture through design decisions, prototyping, iteration, integration, testing, and production-readiness planning. Our experienced engineers will work with you to identify opportunities for automation, develop customized solutions, and seamlessly integrate them into your existing workflows.

Remote collaboration and periodic design reviews ensure seamless communication and transparency throughout the process. We support clients across regional and metropolitan areas, tailoring our approach to their specific needs and deployment environments.

Our proven track record in delivering over 150 R&D and new product development projects across hardware and software demonstrates our capabilities in bringing innovative and reliable automation solutions to market. We maintain an in-house prototyping lab to support rapid hardware and software development, testing, and refinement.

Let us help you streamline your operations, enhance productivity, and achieve operational excellence with COLETEK's Automated Guided Vehicles (AGVs) Solutions. Contact us today to schedule a consultation and discuss your specific needs.