A novel system made of up neural networks powered by Intel’s Loihi neuromorphic chip could lead to better robotic senses of touch and vision, according to NUS researchers.
Violet disinfection robot from Akara Robotics uses Intel Movidius VPU for safety
Violet, a new disinfection robot rapidly developed by Akara Robotics, uses Intel Movidius technology to detect humans and avoid exposure to UV radiation.
Accelerator technique from Intel could benefit edge robotics and augmented reality
Intel shared four research papers on new edge processing techniques, including one on a raycast accelerator that could improve visual SLAM accuracy while maintaining energy efficiency.
ROScube-I from ADLINK and Intel provides ROS 2 control for robots on the edge
ROScube-I includes I/O connectivity features and uses the new Foxy Fitzroy build ROS 2 to enable robotics developers to quickly build, scale, and deploy AI robots such as AMRs at the edge, says ADLINK.
Why and how to run machine learning algorithms on edge devices
Machine learning on edge devices could transform the manufacturing, healthcare, and energy industries. An AI executive explains why and the hardware involved.
Pensa Systems raises $10M for drone inventory systems for retailers
Pensa Systems said its approach, which combines drones, machine vision, and AI, can affordably help retailers and brands solve the $1 trillion stockout problem.
China’s robotics market: A look ahead to 2020
The global robotics market will continue to be affected by China’s manufacturing slowdown and trade tensions with the U.S., says international analyst Georg Stieler as he looks ahead to 2020.
Intel Pohoiki Beach 64-chip neuromorphic system available for researchers
Intel unveiled its 8 million-neuron neuromorphic system codenamed Pohoiki Beach today at the Defense Advanced Research Projects Agency (DARPA) Electronics Resurgence Initiative in Detroit. Consisting of 64 Loihi research chips, Intel claims Pohoiki Beach can be up to 1,000 times faster and 10,000 times more efficient than CPUs for autonomous driving, robotics and other applications.…
Intel, OSU, Stanford, and UC San Diego work on reinforcement learning, PartNet could help household robots
Intel AI Lab is working with researchers at Oregon State, Stanford, and UC San Diego on machine learning approaches that could help robots interact with dynamic environments. They include a combined approach to reinforcement learning and PartNet, a massive dataset of 3D objects with annotated components.
Intel principal SLAM engineer to discuss precision tracking at Robotics Summit
To serve a widening range of applications, robots need to navigate their environments and manipulate objects with greater precision than ever before. At the Robotics Summit & Expo Intel will explain how new technologies are emerging to help developers and users.
Robotics investments recap: April 2019
Despite a few high-profile failures, robotics investments kept going strong in April 2019, with funding flowing to companies working on self-driving cars, supply chain automation, and robots in healthcare.