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
For over two decades, COLETEK has been a trusted partner for businesses in Wallerawang, New South Wales, Australia and across the nation. As a multidisciplinary Australian engineering and product development company established in 2001, we've built a reputation for delivering reliable, innovative solutions that meet the unique needs of our clients.
Operating throughout Australia, including right here in Wallerawang, we're well-equipped to support local businesses like yours, whether you're looking to improve operational efficiency, enhance customer satisfaction, or drive revenue growth. Our team of experts combines technical knowledge with a deep understanding of your industry-specific challenges to create tailored product development and engineering solutions that exceed expectations.
In our experience, collaboration is key to achieving successful outcomes for Wallerawang businesses. That's why we take the time to listen carefully to your needs, ask insightful questions, and work closely with you every step of the way. By doing so, we ensure our solutions are aligned with your goals, goals that align perfectly with yours.
As a trusted national player in the engineering and product development space, COLETEK has earned a reputation for delivering exceptional results, consistently meeting deadlines, and staying within budget – crucial factors when making critical investment decisions about your business initiatives. Our commitment to these values allows Wallerawang businesses like yours to focus on what drives growth: their vision.
Join us in building something remarkable together.