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Tag Archives: AI

“Hey, Alexa! Are you trustworthy?”

The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and consider it to be competent. A new MIT study could help designers create voice-user interfaces that are more engaging and more likely to be used by members of a family in the home, while also improving the transparency of these ...

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SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds

The ability to semantically interpret 3D scenes is important for accurate 3D perception and scene understanding in tasks like robotic grasping, scene-level robot navigation, or autonomous driving. However, there is currently no large-scale photorealistic 3D point cloud dataset available for fine-grained semantic understanding of urban scenarios. Photogrammetric point could datasets are important for tasks such as robotic grasping, scene-level robot ...

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Keeping up with the first law of robotics: A new photonic effect for accelerated drug discovery

Physicists at the University of Bath and University of Michigan demonstrate a new photonic effect in semiconducting nanohelices. A new photonic effect in semiconducting helical particles with nanoscale dimensions has been discovered by an international team of scientists led by researchers at the University of Bath. The observed effect has the potential to accelerate the discovery and development of life-saving ...

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Stanford engineers create perching bird-like robot

With feet and legs like a peregrine falcon, engineers have created a robot that can perch and carry objects like a bird. Image credit: Stanford University Like snowflakes, no two branches are alike. They can differ in size, shape and texture; some might be wet or moss-covered or bursting with offshoots. And yet birds can land on just about any ...

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SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency

Contemporary computer vision models can successfully classify, detect, and segment objects in Internet images reasonably well. A recent paper on arXiv.org investigates how an active agent embodied in a 3D environment could accomplish these tasks. A robot with laser scanner and PTZ camera, gripper (closed). Image credit: Tim3672 via Wikimedia, CC-BY-SA-3.0 The suggested framework consists of two phases. Firstly, the ...

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Physics and the machine-learning “black box”

In 2.C01 at MIT, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep machine-learning algorithms in check and develop more accurate predictions. Machine-learning algorithms are often referred to as a “black box.” Once data are put into an algorithm, it’s not always known exactly how the algorithm arrives at its prediction. This can be ...

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Multi-Robot Collaborative Perception with Graph Neural Networks

Multi-robot perception based on artificial neural networks includes various tasks like multi-robot detection, tracking, or localization and mapping. A recent paper on arXiv.org looks into the multi-robot perception problem with Graph Neural Networks (GNNs). The researchers propose a generalizable GNN-based perception framework for multi-robot systems to increase single robots’ inference perception accuracy. Industrial robots. Image credit: Auledas via Wikimedia, CC-BY-SA-4.0 ...

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Effects of Interfaces on Human-Robot Trust: Specifying and Visualizing Physical Zones

Robots are slowly becoming a part of our lives and are interacting with us nearly daily. Trust is a necessity for humans to feel comfortable around robots. The mode of spatial communication between these machines and humans also affects underlying trust between people and robots.  Atlas robot from Boston Dynamics. Image credit: Boston Dynamics Marisa Hudspeth, Sogol Balali, Cindy Grimm ...

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Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech

Learning to understand grounded language—the language that occurs in the context of, and refers to, the broader world—is a popular area of research in robotics. The majority of current work in this area still operates on textual data, and that limits the ability to deploy agents in realistic environments. Digital analysis of the end-user speech (or raw speech) is a ...

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