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 Woden Valley, Australian Capital Territory, Australia
COLETEK empowers businesses in Woden Valley to harness the transformative power of automation with our comprehensive Automated Guided Vehicles (AGVs) Solutions. Our team of experts has extensive experience guiding clients through every step of the process, from initial discovery and design decisions to prototyping, iteration, integration, testing, and production-readiness.
We understand the unique challenges faced by businesses in the region, particularly in terms of remote collaboration and periodic design reviews. Our Australia-wide support network ensures seamless collaboration and timely progress throughout the entire engagement.
Our proven track record in delivering over 150 R&D and new product development projects across hardware and software demonstrates our ability to translate complex technical concepts into tangible solutions. We maintain an in-house prototyping lab to expedite hardware and software development, testing, and refinement.
Whether you require assistance with proof-of-concept work, prototype refinement, design reviews, or technical feasibility assessments, COLETEK is your trusted partner. We meticulously capture requirements, analyze trade-offs, and meticulously plan integration to ensure seamless deployment.
Let us collaborate with you to streamline workflows, optimize efficiency, and achieve exceptional results with our Automated Guided Vehicles (AGVs) Solutions. Contact us today to schedule a consultation and discuss your specific needs.
