Rohit Dashrathi, Yantra CEO, stated: 'At Yantra we are concentrated on client process need and the provision of solutions that meet client goals. We develop high quality Automated Guided Vehicle (AGV) solutions and see a changing market demand with clients increasingly seeking versatile vehicle navigation capability that does not rely on traditional line/wire/surface mark following.
We saw Guidance Automation's technology demonstrations at Automation Expo in Mumbai in August 2018 and combined to accelerate our Autonomous Mobile Robot development.
Dashrathi persisted: 'With Guidance Automation's help and expertise, we have replaced our vehicle navigation options to consist of industry proven Natural Feature navigation and are undoubtedly supplying enhanced AGVs to our clients to meet the needs of their business operations'.
Guidance Automation's ‘SCENE' laser/vison-based Natural Feature navigation system for Autonomous Mobile Robots is capable of navigating by reference to present features within the working environment. This means no wires, tapes or navigation marks. Advanced 2D/3D Laser contour scanning and mapping algorithms combine to create a navigation map from the available features within the working environment. These mapped features are used to determine vehicle position during vehicle operation. Options for indoor and outdoor operation are available. Wide range of laser types supported, e.g. safety scanners, hi fidelity 360 scanners. Deployment in minutes, easy to adjust to changing demands, infrastructure and processes.
Peter Moore, Commercial Manager at Guidance Automation, added: 'Our aim is simple, we develop advanced robotic vehicle Guidance, Navigation and Control technologies to help accelerate Autonomous Mobile Robot development. We enable our clients to keep pace with increasingly demanding market needs. The only way to do this is to start with a deep understanding of end user processes and working practice and use this insights to build intelligent technologies that deliver on the need and facilitate adaptation for the future'.