Improving the Soil Property and Object Classification will save NASA scientists time when planning routes for their rovers and in finding important formations.
Formerly known as Cartica AI, Autobrains is developing its modular Cartex driving platform for Level 1-4 autonomous vehicles.
The Covariant Brain is a “universal AI that enables robots to see, reason, and act autonomously in the real world.”
OpenAI disbands its robotics research team due to lack of large enough data sets to effectively generate reinforcement models.
Neurala’s VIA software helps manufacturers improve quality inspection on production lines.
Kami will strengthen Embodied’s Moxie robot by adding memory of past conversations context, consistent personality, common sense reasoning.
Goldberg on Ambi Robotics’ Sim2Real technology, how Dex-Net is powering its robots, lessons learned over the years, and the challenges of universal grasping.
Ambi Robotics, formerly known as Ambidextrous Laboratories, raised $6.1 million in seed funding for its picking robots and operating system that are based on simulation-to-reality artificial intelligence (AI). Co-founded by the great Ken Goldberg, a professor at UC Berkeley, Ambi Robotics said it is exiting stealth mode, although its work on improving robotic grasping hasn’t…
Researchers studied how reinforcement learning enabled a robot arm equipped with a parallel jaw gripper and tactile sensors to insert unknown objects into a hole.
There are some tasks traditional robots – the rigid and metallic kind – simply aren’t cut out for. Soft-bodied robots, on the other hand, may be able to interact with people more safely or slip into tight spaces with ease. But for robots to reliably complete their programmed duties, they need to know the whereabouts…
Training data is collected in Unity and used to train a deep neural network that predicts the pose of a cube. This model is then deployed in a simulated robot pick-and-place task.
Artificial intelligence (AI) remains a major buzz word across many industries, including manufacturing, with the media covering new AI capabilities and trends playing a key role in enabling the digitalization of production. But what’s the real story? In many cases, AI exists only in theory, and there’s a long way to go before it’s ubiquitous.…
Researchers said the optical neuromorphic processor could benefit autonomous vehicles and other data-intensive applications.
NVIDIA said its Isaac Gym simulation software is designed to provide end-to-end reinforcement learning for robotics developers.
Phoenix Instinct, one oof the five finalists in the Mobility Unlimited Challenge run by the Toyota Mobility Foundation and Nesta Challenges,
Sierra Ventures and Orbital Ventures have led the $10.75 million Series A financing round for Akasha Imaging, which is developing deep imaging technology to help robots see fine details.
Mech-Mind Robotics, which combines 3D vision, deep learning, and motion planning to make industrial automation more intelligent, has raised nearly $15 million to accelerate development and marketing.
Einride said NVIDIA’s Orin processors will help make the next generation of its autonomous Pods for freight transport safer and more functional.
AutoX said its RoboTaxi fleet in downtown Shenzhen is the first to be deployed without accompanying safety/backup drivers in China.
Ayanna Howard, the first female dean of Ohio State University’s College of Engineering, discusses her new book on Sex, Race, and Robotics.
GrAI Matter Labs, which raised a $14 million venture round, is enabling low latency edge computation for many robotic applications.
Increasingly, artificial intelligence systems known as deep learning neural networks are used to inform decisions vital to human health and safety, such as in autonomous driving or medical diagnosis. These networks are good at recognizing patterns in large, complex datasets to aid in decision-making. But how do we know they’re correct? Alexander Amini and his…