Intelligent Autonomous Transport Vehicle (IATV)

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Intelligent Autonomous Transport Vehicle (IATV)

Ultrasonic Range Finder XL-Trashsonar-WR MB7139-ultracompact Ultrasonic Range Finder XLMaxsonar-UCH-MB7052

View Full-Size Image	Intelligent Autonomous Transport Vehicle (IATV)
	Product ID: NR-IATV-UGV02 Weight: 0 Price: Request Quote Ask a question about this product


	Shopping centres, airports, heritage sites, sporting venues are most suitable places for driverless transport. Autonomous vehicles will play significant role in the future development of transport systems within smart cities and towns. Intelligent Autonomous Transport Vehicle is a platform that can be used both for advanced research in autonomous navigation and for ferrying people around campus. It has state of the art navigation algorithms, industrial sensor interfaces and rugged design to survive outdoor environment. The sensor suit is pre-configured and connected to on-board computer to provide ease of development For autonomous navigation it uses Laser range finders, GPS and Inertial Navigation sensors. On-board computer estimates vehicle’s position with the help of these sensors. Any undesired deviation from the path is corrected in real time with steer by wire control system. The vehicle can be switched between auto and manual mode by pressing a button on the control panel. Video: Why IATV: Self driving vehicle makes it easier to transport people and cargo effectively around destinations within cities, towns, large estates and campuses. Multi-processor distributed architecture and Ready to use robot with well defined software API for giving head-start on your robotic research and development. Key Benefits: Safer travel for passengers and surrounding pedestrians No dedicated route infrastructure is required Reduces operator labour costs as no driver is required Carbon neutral transportation with zero emissions Applications: In campus autonomous ferrying Algorithm development Technology demonstrator Research Areas: Mapping and autonomous navigation Vision (2D and 3D) Collaborative robotics and other behaviors Artificial Intelligence Multi-Agents System Real-Time systems Automotive technologies Control systems Mobile sensor network Features: Ready to use robot with well defined software API for giving head-start on your robotic research 459Kg platform with 320Kg payload capability Rugged all weather waterproof design Multi-processor distributed architecture Up to 6 laser range finders Multi-spectrum camera pods with zoom up to 60X with hardware image stabilization Secure digital wireless link for communication up to 30Km for Line of Sight (LoS) communication Ergonomically designed rugged IP67 standard remote control with video display and capability to participate in network centric warfare. Equipped with GPS, environmental and other tactical sensor packs suitable for different types of mission profiles Technical Specifications: Dimensions (LxWxH): 243cm x 117cm x 174cm Weight: 460kg Max Payload Weight: 320kg Dust / Water protection: IP65 STD Speed: Closed loop velocity control, max. 40Km/hr Wheel base: 162cm Ground clearance: 12.5cm Power: 3.4kW, 48V DC motor Steering: Rack and Pinion Turning radius: 3m Suspension: Leaf spring with dual hydraulic shocks (front) and dampers (rear) Control: Intel Core i7 based rugged computer and multiple 32 bit processors with distributed computing Sensors: LiDAR, Stereo cameras, 8 Ultrasonic and IR range sensors, 9DOF IMU, GPS Computing: Small form factor ruggedized compute platform with Intel Core i7 for AI and deep learning Communication: 4G-LTE based secure 128 bit encrypted data link, Long range HD digital video link (Optional) Programming: ROS, C, C++, Matlab, Python, Scilab
ROHS Compliant : NO

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RESEARCH

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NEWS

Nex robotics has added support for Microsoft Robotics Developer Studio (MRDS) on FireBird V research platform. FireBird V is one of the most widely deployed research platforms designed by Department of CSE, IIT Bombay and Nex robotics.

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NEX Robotics has designed Intelligent autonomous transport vehicle for transporting personals autonomously inside the campus and for advance research in mobile robotics.

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