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…

Researchers at the University of California, Berkeley, said that combining neural networks with motion-planning software will give robots the speed and skill to assist in warehouse environments.

The IEEE surveyed 2,000 millennials with children worldwide and found growing acceptance of robotics for maintaining the healthcare and wellbeing of their families. U.S. respondents were more wary than averaage.

BIONIK Laboratories, which provides three InMotion therapeutic robots for neurological rehabilitation and the InMotion Connect data management system, is an example of how developers of assistive technology can work with hospitals.

OSARO is working to combine its AI software for piece picking with INNOTECH’s product expertise in a mobile robot to serve supply chains and manufacturing.

Panagiotis Tsiotras, an IEEE Fellow and Georgia Tech professor, describes some of his research into improving autonomy on the ground and in space and why it’s an exciting time to be a robotics student.

JAZZ Venture Partners led the $22 million Series A funding round for Robust.AI which is planning to expand platform development and early partnerships.

Kespry said its Kespry Perception Analytics cloud-based system is designed for industries including chemicals, pulp and paper, energy, food and beverage, and ports.

When using Jetson devices, Formant users can now enable real-time video and image analytics in the cloud and perform PII scrubbing at the edge, writes CEO Jeff Linnell in this column.

NVIDIA said its Jetson Nano 2GB kit is designed to enable students and developers to affordably get started with AI, robotics, and IoT.