Automated Guided Vehicles (AGVs) Solutions for Beechwood

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

At COLETEK, we empower businesses in Beechwood and the Mid North Coast region of New South Wales with innovative Automated Guided Vehicles (AGVs) Solutions. Our team of experts has extensive experience designing, developing, and deploying automated solutions across diverse industries.

We understand the unique challenges faced by businesses in the region, where remote collaboration and periodic design reviews are crucial. Our comprehensive approach involves thorough requirements capture, engineering trade-offs, and meticulous integration planning to ensure seamless deployment and ongoing success.

Our proven track record includes successful projects for clients across regional and metropolitan areas. We seamlessly navigate the complexities of logistics and deployment environments, ensuring seamless integration of AGVs into your existing workflows. Our iterative approach involves regular testing and refinement to optimize performance and productivity.

From proof-of-concept work to production-readiness planning, COLETEK is your trusted partner in automated guided vehicle implementation. We leverage our in-house prototyping lab to accelerate hardware and software development, testing, and refinement. Our founder and principal engineer, Luke Cole, holds extensive expertise in robotics, electronics, embedded systems, AI, and product development.

Let's discuss how COLETEK can empower your business with Automated Guided Vehicles (AGVs) Solutions tailored to your specific needs. Contact us today to schedule a consultation and explore the possibilities together.