Category robots

Neural radiance fields (NeRFs) are advanced machine learning techniques that can generate three-dimensional (3D) representations of objects or environments from two-dimensional (2D) images. As these techniques can model complex real-world environments realistically and in detail, they could greatly support robotics research.

While robots automate physical processes, AI can automate digital and more dynamic ones. However, these two technologies are starting to come together, and AI robots could dramatically impact several industries.

Claire chatted to Elena De Momi from the the Polytechnic University of Milan all about surgical robotics, artificial intelligence, and the upcoming ICRA robotics conference in London.

Elena De Momi received her MSc in Biomedical Engineering in 2002, PhD in Bioengineering in 2006, and she is currently Associate Professor in the Electronic Information and Bioengineering Department (DEIB) of Politecnico di Milano. She is co-founder of the Neuroengineering and Medical Robotics Laboratory, in 2008, being responsible of the Medical Robotics section. Her academic interests include computer vision and image-processing, artificial intelligence, augmented reality and simulators, teleoperation, haptics, medical robotics, human robot interaction.

The qualities that make a knitted sweater comfortable and easy to wear are the same things that might allow robots to better interact with humans.

Philosophers and legal scholars have explored significant aspects of the moral and legal status of robots, with some advocating for giving robots rights. As robots assume more roles in the world, a new analysis reviewed research on robot rights, concluding that granting rights to robots is a bad idea. Instead, the article looks to Confucianism to offer an alternative.

Robots need accessories to work efficiently. But what’s the easiest way to connect the accessories to factory networks? The easiest way is to use HMS Networks’ ready-made Anybus products, as RSP found out.

New research proposes a framework for evaluating general-purpose models against novel threats

New research proposes a framework for evaluating general-purpose models against novel threats

New research proposes a framework for evaluating general-purpose models against novel threats

New research proposes a framework for evaluating general-purpose models against novel threats

New research proposes a framework for evaluating general-purpose models against novel threats

New research proposes a framework for evaluating general-purpose models against novel threats

New research proposes a framework for evaluating general-purpose models against novel threats

New research proposes a framework for evaluating general-purpose models against novel threats

Imagine you're enjoying a picnic by a riverbank on a windy day. A gust of wind accidentally catches your paper napkin and lands on the water's surface, quickly drifting away from you. You grab a nearby stick and carefully agitate the water to retrieve it, creating a series of small waves. These waves eventually push the napkin back toward the shore, so you grab it. In this scenario, the water acts as a medium for transmitting forces, enabling you to manipulate the position of the napkin without direct contact.