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
Some of our Robotics Development Experience
Automated Guided Vehicles (AGVs) Solutions for Eulomogo, Central West Slopes, New South Wales, Australia
Eulomogo businesses can harness the power of automation with COLETEK's innovative Automated Guided Vehicles (AGVs) Solutions. Our expertise in robotics, electronics, and product development empowers us to deliver tailored solutions that optimize efficiency, streamline workflows, and maximize productivity across diverse industries.
Our comprehensive approach begins with thorough requirements capture and analysis, ensuring we understand your unique operational needs and challenges. We collaborate closely with you to refine design decisions, prototype, iterate, and seamlessly integrate AGVs into your existing infrastructure. Our team will guide you through the entire process, from production-readiness planning to handover and ongoing support.
Remote collaboration is integral to our methodology, allowing us to work seamlessly with clients across regional and metropolitan areas. We have successfully completed projects for clients throughout Australia, tailoring our solutions to diverse environments and industries.
At COLETEK, we have a proven track record of delivering innovative solutions that meet the highest standards. Our team has received international recognition for product innovation and has contributed to industry-leading initiatives like the Robotics Roadmap for Australia.
Contact us today to discuss how COLETEK can empower your business in Eulomogo with the transformative power of Automated Guided Vehicles. Let's build something remarkable together.
