Infosys partnered with leading educational and training organization like Udacity. Infosys collaborates with leading universities in the Robotics and Autonomous Systems space including Indraprastha Institute of Information Technology (IIIT), Delhi, Purdue University - USA, University of Aachen – Germany. Developed proof of concepts, pilots and initial solutions in the BFSI, Manufacturing, Mining, Automotive and Retail sectors.Developed many Vision Based Technologies and Vision Assisted Algorithms for all levels of autonomy and are actively working in areas such as Mapping and Localization, Lane detection, Object Detection, and Path Planning and Optimization, etc.Designed Autonomous Traffic Management Systems which supports Intelligent diagnostics with fleet management along with real-time tracking and monitoring.Developed an Autonomous Vehicle Diagnostic Framework and solutions around vehicle to vehicle (V2V), vehicle to network (V2N), vehicle to infrastructure (V2I), and vehicle to pedestrians (V2P) areas.Autonomous Golf Cart Platform built on Hybrid Framework powered by innovative Drive-by-Wire system.Conceptualized and developed the Robotic Artificial Intelligence Language – Integrated Product Technology (RAILIPT) platform.Infosys developed many solutions, frameworks and platforms in Robotics and Autonomous Systems. Infosys 5G and Network Engineering Services.After Market Services and MRO Operations.Configure - Price - Quote (CPQ) Solution in the Digital World.Unified Communications and Collaboration Services.KRTI 4.0 - AI Framework for Operational Excellence.Microsoft Business Application Services.Application Development and Maintenance.With the development of sensor technology, multiple navigation and obstacle detection methods could be combined together to realize AGVs with more intelligence and accuracy. When low power is detected, monitoring system gives vehicles an instruction to go to a specific position to charge automatically. AGV’s loading/unloading module is used to load and unload goods by driving a motor to control forklift. Furthermore, an accelerometer is used to detect the inclination of ground in order to prevent fall of loaded goods. During movement, AGV needs an ultrasonic or infrared sensor to detect obstacles standing in its way. The moving direction of vehicles changes when the motors on both sides are rotating at different speed. Vehicles’ speed is controlled by processor. The movement module of an AGV is made up of motors, motor control units and driving circuits. When vehicles are moving, the real-time location can be calculated based on incident angle and prisms’ positions, and then compared with the predetermined route stored in memory to accurately adjust vehicles’ movement. To implement laser navigation, a great number of rectangular prisms that can reflect laser back to vehicles are required to be fixed on walls and obstacles, and laser transceivers that can rotate horizontally should be mounted on top of vehicles. Laser navigation is a popular method used in AGV due to its high agility and accurate control. Nowadays, navigation methods adopted in AGV include electromagnetic, magnetic stripe, optical, infrared, laser and visual navigation. Navigation is certainly the key function. Machine Safety, Process Control & Automation ProductsĪn AGV device is composed of a variety of modules for navigation, movement, obstacle detection, loading/unloading, communication and power supply.Embedded Control & Signal Processing Products.
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