Sr. Description
1 Next Level Racing (Cockpit and Mat)
2 Next Level Racing (Monitor Stand + Desktop Base)
3 Fanatec (Steering wheel + Wheelbase + Pedals)
4 i-Hawk tower system containing two 3.4 GHz Xeon Gold 6128 115W 6-Core CPUs w/19.25 MB cache, 96 GB memory 2666 MHz, Dual Gigabit Ethernet ports, 1 serial port/header, 4 USB ports, 6 PCIe slots - 1 unused (4 x16 3.0, 2 x8), 14 SATA ports, M.2 port, IPMI, AST2500 on-board graphics, C621 chipset PS, one 1 TB 7.2K SATA drive, non-RAID configuration, USB keyboard and optical mouse, Mid tower SATA chassis (16.7 H x 7.6" W x 20.68" D), 1200W power supply, 4 1-in. drive bays, DVD+-RW (+-R DL) / DVD-RAM SATA drive, GeForce RTX 2080 Ti w/11 GB memory graphics card, GeForce RTX 2080 Ti w/11 GB memory 2nd graphics card, 64-bit Red Hawk Linux real-time OS with CentOS distribution, Real-Time Clock & Interrupt Module PCIe card (RCIM III)

Automated Driving


Autonomous vehicle lab consists of a virtual test drive vehicle setup which helps students to learn creation of detailed road and rail networks with multiple lanes as per requirement, design various types of intersections as well as signaling system by exporting the required data from single source and create 3d models. Students from different disciplines of engineering can learn the configuration, simulation, and customization virtual worlds. Students will gain exposure to various MSC’s tools to face challenges in development and validation of driver assist system to fully autonomous vehicles.



This toolkit is an automated, lab based tool useful to create, configure, present and evaluate the virtual environment providing scope for repeatable and realistic like in-lab testing of different road conditions and traffic simulations.Advanced driver-assistance system (ADAS),which is an electronic system that the driver to drive and park vehicle, can be developed with by using VTD toolkit. VTD can also be used for developing automated driving systems.
VTD provides scope to generate 3D content, simulate complex traffic scenario, and simulate simplified or physically driven sensors.


The data collected from the field is used to design road network and traffic simulations. Road networks are designed using Road Network Editor (ROD) which includes number of lanes, different types of intersections, traffic signs and signals.


ADAS is an electronic system beneficial from road safety point of view. It helps drivers to drive and park vehicles safely. It uses different electronic technologies like Micro controller units (MCU), Power semiconductor devices and electronic control units to avoid human errors and develop advanced driver assistance system. This technology helps in avoiding vehicle collisions and control road accidents.


  • Aerospace and Defense - trainers and simulators, unmanned aerial vehicles (UAVs)
  • Automotive - driver assist systems, vehicle to vehicle interactions, traffic simulation, autonomous vehicles
  • Heavy Equipment - agricultural and mining equipment, trucks
  • Government - intelligent highways, vehicle to infrastructure interactions, standards and certification


  • Testing of vehicle in different environment like road conditions, traffic situations.
  • Design 3D models of road networks and traffic simulations.
  • Developing next generation vehicles
  • Design Sensors, Controllers etc.
  • Looping of hardware drivers, driving simulators and software components.
  • Create, configure, visualize complete virtual environments using VTD
  • Advanced driver-assistance systems (ADAS)



YASKAWA AR1440 Welding Robot with YRC 1000 Controller.
MotoSim EG-VRC


The six-axis MOTOMAN AR1440 robot provides fast and accurate performance to achieve optimal results in extremely difficult conditions and especially for the high demands of arc welding applications. With a payload of up to 12 kg, it’s wire feed system, the maximum working range of 1440 mm and integrated media hose package, this robot enables simple machining of bulky and hard-to-access workpieces with high quality results. Furthermore, the slim design allows high-density robot placement in confined spaces. The fast motion sequences of the MOTOMAN AR1440 robot reduce welding cycle times and the hollow wrist of 50 mm allow integrated torch cabling in the robot arm in order to avoid collisions with the workpiece or other robots. The integration of the power cable and the air connections in the base enable an enlarged turning range of more than 340°.


Axes Maximum motion range (°) Maximum speed (°/sec) Allowable moment (N*m) Allowable moment of inertia (kgm²)
S ± 170 260 * *
L +155/-90 230 * *
U ±140 260 * *
R ±150 470 22 0.65
B +90/-135 470 22 0.65
T ±210 700 9.8 0.17


Item AR1440
Controlled axes6
Maximum Payload (kg)12
Repeatability (mm)±0.06
Horizontal Reach (mm)1440
Vertical Reach (mm)2511
Weight (kg)150
Internal user I/O cable17 conducts w/ ground
Internal user air line3/8 connection
Power Requirements380-480 VAC
Power rating (kVA)1.5


  • Fast motion sequences
  • Wide motion range
  • High path accuracy
  • High density placement due to slim design
  • Integrated cabling avoids interferences

Build and Simulate a Robotic Work cell

Offline programming, 3D simulation and Virtual Robot Control all make it easy to build and simulate a robotic cell without ever installing a robot. Yaskawa provides MotoSim EG and MotoSim EG-VRC for building and simulating your robot cell. In addition, if you need to ensure you select the proper robot based upon load ratings and payload, let MotoSim determine the proper robot model.


MotoSim EG-VRC (Enhanced Graphics Virtual Robot Controller) is designed for accurate offline programming of complex systems. With the virtual robot controller function, simulation software can be used for

  • Optimizing robot and equipment placement
  • Reach modeling
  • Accurate cycle calculations
  • Automatic path generation
  • Collision detection
  • System configuration
  • Condition file editing
  • Functional Safety Unit (FSU) configuration
  • Remote access to real robot controller
The virtualized controller also allows the simulation software to operate and display a programming pendant interface identical to the real controller. The VRC completely simulates the Motoman robot controller software.


MotoSim EG (Motoman Simulator Enhanced Graphics) is a comprehensive software package that provides accurate 3D simulation of robot cells. This powerful simulation software can be used to optimize robot and equipment placement, as well as to perform collision detection, reach modeling and cycle calculations. It also provides accurate offline programming of complex systems. MotoSim EG reduces programming time, thus increasing uptime of the production equipment. New parts can be programmed offline before production begins, and existing robot programs can be modified to increase efficiency and reduce cycle time – without sacrificing production schedules.


India’s first articulated industrial robot “BRABO” has been unveiled by Tata Motors’ wholly owned subsidiary, TAL Manufacturing Solutions. Bravo Robot or BRABO is country’s first conceptualized, designed and manufactured articulated industrial robot that has been specially developed for nation’s micro, small & medium enterprises. The articulated industrial robot has been developed by TAL with an aim to recurrently perform time-consuming, high volume, and dangerous tasks that range from raw material handling to finished-product packaging. The main purpose of developing BRABO is to complement human work force.


Parameter Value
Robot make TAL BRABO
Robot model TR10-5
Construction Articulated arm
Ambient temperature of the robot workspace 0° C to 45° C
Relative humidity of the robot workspace Less than 90%
Number of Axes 5
Axis movement range J1- AXIS: ±180°
J2-AXIS: ±130°
J3-AXIS: ±150°
J4-AXIS: ±180°
J5-AXIS: 360°
Maximum speed J1- AXIS: 110°/s
J2-AXIS: 110°/s
J3-AXIS: 110°/s
J4-AXIS: 150°/s
J5-AXIS: 150°/S
Maximum Payload 10Kg
Maximum reach (horizontal) 750mm
Weight of robotic arm 95Kg
Position repeatability (accuracy) ±0.2 mm
Main power supply 230V AC, Single phase, Regulated power supply
Full load current 15 Amps
Maximum power consumption 4.5KW
Acoustic level Less than 70 db
Robot controller dimensions 660 * 660 * 350mm
Robot controller weight 45 Kg
Spare digital I/O 3 Input, 4 output (Bidirectional)
Communication protocol Ethernet, Ether CAT