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
At COLETEK, we're proud to be a multidisciplinary Australian engineering and product development company established in 2001. With our rich history of innovation and dedication to delivering exceptional outcomes, we've earned a trusted national reputation as a reliable partner for businesses across Davistown, New South Wales, Australia.
As a long-standing member of the Australian engineering community, we understand the unique challenges faced by local businesses in Davistown, New South Wales, Australia. That's why we're committed to providing tailored support and expert guidance to help your organization thrive. Our team of experienced engineers and product developers is passionate about collaborating with clients from various industries to bring their innovative ideas to life.
Operating throughout Australia, including Davistown, New South Wales, Australia, our company has developed a reputation for being dependable, transparent, and capable of handling complex projects. We take pride in building strong relationships with our clients, understanding their goals, and delivering effective solutions that meet their unique needs.
In Davistown, New South Wales, Australia, businesses are continually evolving to stay competitive in an ever-changing market. At COLETEK, we recognize the importance of staying ahead of the curve by embracing cutting-edge technologies and best practices. By partnering with us, you can leverage our expertise, creativity, and technical skills to drive growth, improve efficiency, and enhance your competitive edge.
Let's build something remarkable together.