Robotic Assistance Devices To Demonstrate Next-Generation Autonomous Machines Using NVIDIA Jetson Platform At ISC West 2017

Robotic Assistance Devices (RAD), an innovator in artificial intelligence and robotics and master distributor for SMP Robotics Systems Corp., announced it is enhancing its complete line of autonomous robotic guards with the NVIDIA Jetson embedded computing platform. Using NVIDIA Jetson, an embedded AI supercomputer ideal for intelligent machines, RAD robotics can achieve higher levels of autonomy, while adding advanced people and vehicle detection on the moving robot.

The new RAD product line-up offers global security teams situational awareness tools to deliver unprecedented deployment flexibility and operational productivity. Using the Jetson platform’s high-performance, power-efficient supercomputing for deep learning and computer vision, RAD autonomous robotic systems can be more predictive, accurate, productive and easily reconfigured for a variety of tasks.

RAD will demonstrate new Jetson-powered vision capabilities on its autonomous robotic systems at the ISC West Conference and Expo, being held April 5-7, at the Sands Expo Center in Las Vegas. Visit RAD at booth #3122 and NVIDIA at booth #20075.

“By using the NVIDIA Jetson embedded platform, we can develop smarter autonomous robots that can learn from the environment around them to navigate safely, as well as identify and classify objects of interest, including cars and people,” said Steve Reinharz, Founder and CEO, RAD. “This innovation marks the next generation of robotics.”

“Today’s advanced robots can learn, adapt and evolve through the power of AI,” said Murali Gopalakrisha, head of product management for Intelligent Machines at NVIDIA. “Working with innovators like RAD, we’re driving new capabilities and benefits for autonomous machines.”

Founded in 2017, RAD is a privately funded, high-tech start-up that is an exclusive partner ofSMP Robotics, based in San Francisco.

Source: roboticassistancedevices.com
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    • Daisy Ferret
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