Integrated Robotics
Stereo vision paired with robotics for autonomous systems
Creating a map for autonomous systems
For autonomous systems to be able to operate, they must first place themselves within a scene. Stereo vision systems play a vital role in this.
i3D is developing a flexible awareness map that will be a true representation of a scene or environment creating perception for robotic and autonomous systems (RAS). This is achieved through the fusion of data from 3D vision cameras and a wide range of sensors, providing the RAS with critical information. Through describing the actual, physical world, the RAS are able to make informed decisions, as well as respond to unexpected events using artificial intelligence and deep-learning techniques.
High-end sensors
i3D’s vision systems are an enabling technology for RAS products, services and processes.
Our stereo vision systems can be used in a wide range of RAS application areas including high-temperature manufacturing, nuclear decommissioning, medical, and service robots. Any number sensors may be integrated with the 3D models include spectrometers, infrared, augmented and virtual reality technologies, colour cameras and hygrometers.
The following images show the integration of i3D robotic’s Deimos system, a precursor to our high-resolution Phobos camera, with the Smart Grasping System (SGS) from the Shadow Robot System.
i3D robotics has been working with The University of Sheffield on an intelligent vision system for a new welding system targeted initially at the aerospace industry.
Our vision systems are able to provide real-time visual information and feedback to enable intelligent control for an automated arc welding system. Through using this information and integrated robotics systems, the welding process may be controlled by adjusting parameters such as arc intensity, distance, and speed to provide full automation that will move the technology towards true replication of manual welding with 24/7 operation in any environment
We make our vision systems to be able to provide real-time visual information and feedback, that enables intelligent control of automated arc welding systems.
Nicholas Bantin – Director
