Autonomous Systems

Autonomous Vehicles, Drones and Robots

The age of autonomous systems has arrived. The world’s foremost companies are making headlines daily with stunning new advances in autonomous vehicles, drones and robots. Google’s self-driving cars, Amazon’s package delivery drones, Airbus’s flying car and countless other autonomous machines are capturing the public’s imagination and serious business investment. However, developing machine autonomy is an engineering challenge without precedence. New engineering challenges such as development of artificial intelligence have to be addressed, but time-to-market is short and the competition is intense.

When we let machines operate on their own among humans, safety becomes the number one priority. Rigorous testing of these autonomous machines is absolutely critical to ensure safe operation, but practically impossible due to the multiplicity of their operating scenarios. Only engineering simulation provides the means to achieve product safety, reliability and performance. Via simulation, thousands of operating scenarios and design parameters can be virtually tested with precision, speed and cost economy. Simulation fast-tracks the development of autonomous vehicles, drones and robots, and helps companies bring autonomous machines to market at the rapid pace demanded by public imagination.

ANSYS Autonomous Systems

  • Autonomous Systems White Paper
  • Autonomous Systems eBook
  • Autonomous Systems Webinar
  • Autonomous Systems Video

Fast-Tracking Autonomous Vehicles, Drones and Robots Via Engineering Simulation

As demand grows for autonomous machines, only engineering simulation offers the means to launch them into the marketplace quickly and cost effectively. Simulation is essential to:

  • Simulate mission scenarios
  • Develop control and HMI software
  • Ensure safety of autonomous systems
  • Accurately model sensors
  • Optimize reliability of electronics and mechanical hardware
  • Optimize reliability of ICs

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Why Engineering Simulation is Critical to Your Success in Developing Autonomous Systems

Developing autonomous vehicles brings unprecedented engineering challenges; artificial intelligence (AI) engineering needs to be developed, competition is steep, and time to market is short. With simulation, millions of operating scenarios and design parameters can be virtually tested with precision, speed, and cost economy. The benefits of simulation include:

  • Meet product launch dates
  • Meet product cost targets
  • Meet product revenue targets
  • Improve profit margin on new products

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Fast-Tracking ADAS and Autonomous Vehicle Development with Simulation

Developing autonomous vehicle technology presents challenges for new developments in sensing technologies, machine learning and artificial intelligence, that are not only unprecedented in the automotive industry, but in all other industries as well. This webinar identifies:

  • Six areas where simulation is essential
  • Examples of the benefits of simulation
  • The tools needed for ADAS and autonomous vehicle simulation

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Designing the Next Generation Drone

This video demonstrates the proven systems level simulation platform that can engineer the unmanned systems of the future. Engineers must balance several UAS design considerations:

  • Aerodynamics & flight controls
  • Size & weight
  • Power management & cooling
  • Platform & payload integration
  • Embedded software for displays & controls

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