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 Northern Rivers, New South Wales, Australia
Northern Rivers businesses can now harness the power of automation with COLETEK's innovative Automated Guided Vehicles (AGVs) Solutions. Our expertise in robotics, electronics, and embedded systems enables us to deliver reliable and efficient automated transportation across diverse environments.
We understand the unique challenges faced by businesses in the Northern Rivers region. Our comprehensive approach considers factors such as remote collaboration, periodic design reviews, and support across regional and metropolitan clients. We work closely with you to capture requirements, identify potential trade-offs, and develop an integration plan tailored to your specific needs.
From proof-of-concept work to production-readiness planning, our team will guide you through every step of the process. We leverage our in-house prototyping lab to refine your ideas into tangible solutions, while our rigorous testing and iteration procedures ensure optimal performance.
COLETEK has delivered over 150 R&D and new product development projects across hardware and software, earning recognition for product innovation. Our founder and principal engineer, Luke Cole, holds a Bachelor of Engineering and a Bachelor of Information Technology, and has contributed to notable research institutions.
Let us help you streamline your operations, optimize logistics, and achieve remarkable results with Automated Guided Vehicles from COLETEK. Contact us today to discuss your specific needs and explore the possibilities.
