Pittsburgh Robotics Network members, CMU, and Pitt will all gain access to NVIDIA technologies for developing AI and robotics.

Surgical robots need precision and repeatability, which real-time operating systems and modern perception can provide.

BlackBerry QNX says its foundational software enables developers to make robots more reliable and precise for a range of applications.

SiLC Technologies says its FMCW lidar is superior to time-of-flight sensors for the various types of mobility that Honda produces.

Robotic surgery continues to become more autonomous and affordable, thanks to advanced computing, according to AMD.

The Foxconn computing center will be anchored by NVIDIA’s GB200 super chip servers and enable electric vehicle and smart city development.

Foresight will integrate its ScaleCam 3D perception technology with KONEC into a conceptual autonomous driving vehicle. 

The new sensor from Lumotive uses the latest beamforming technology for industrial automation and service robotics.

March 2024 robotics funding was buoyed by significant investment into software and drone suppliers.

BlackBerry and Advanced Micro Devices said they plan to address the need for ‘hard’ real-time capabilities in robotics-focused hardware.

The first devices in AMD Versal Series 2 target high-efficiency for AI Engines, and Subaru is one of its first customers.

From events like MODEX and GTC to new product launches, there was no shortage of robotics news to cover in March 2024. 

Delta Electronics has developed digital twins with NVIDIA for designing and managing industrial automation and AI data centers.

NVIDIA CEO Jenson Huang wowed the crowd in San Jose with the company’s latest processor, AI, and simulation product announcements.

AMD said the latest addition to its portfolio of FPGAs and adaptive SoCs delivers cost and power-efficient performance. 

Locus Lock has developed software-defined radio to overcome GPS spoofing for more secure autonomous navigation.

AMD Embedded+ combines embedded processors with adaptive systems on chips to shorten edge AI time to market.

The Indy Autonomous Challenge announced a completely new sensor and compute architecture for the AV24 racecar.

SiLC says its new Eyeonic Mini AI machine vision system provides sub-millimeter resolution at a significantly reduced size.

NVIDIA technologies are helping supply chains add new levels of automation, as seen in its work with Adobe, Amazon, and Zipline.

Acceleration Robotics introduced RobotCore ROS 2, a time-sensitive networking solution delivering speeds thousands times faster than current standards.

K24 SOM and KD240 Kit enable the design of power-efficient, production-ready solutions for motor control and digital signal processing applications with a fast time to market