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Robotics Software

Engineers Wiki.

Most Asked Questions.

This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!

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ORGANIZATIONS.

SHAPING THE INDUSTRY.

Nordic Semiconductor

Semiconductors

Nordic Semiconductor is a fabless semiconductor company specializing in wireless technology that powers the IoT.

181 Posts

EPFL

University

Located in Switzerland, EPFL is one of Europe’s most vibrant and cosmopolit...

56 Posts

High Tech Campus Eindhoven

High Tech

High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...

49 Posts

ETH Zurich

University for science and technology

Freedom and individual responsibility, entrepreneurial spirit and open-​min...

43 Posts

University of Michigan

Higher Education

Work together. Create smart machines. Serve society. University of Michiga...

40 Posts

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TAGGED WITH embedded software

Discover how no-code/low-code platforms are transforming embedded development by enabling rapid prototyping and deployment with minimal coding. Explore tools like LabVIEW, Node-RED, and XOD that simplify IoT, automation, and industrial system design.

Embedded Development Using No-Code/Low-Code Platforms

The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.

Readying robots for new tasks

Latest Posts

In this article, we look at two tinyML projects for education. We show how Backyard Brains uses low-cost experiment kits to make neuroscience education more accessible. We also introduce our readers to a specialisation offered by Harvard & Google to help students learn tinyML like never before.

Applications of TinyML making specialised education more accessible

ETH researchers led by Marco Hutter developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.

How robots learn to hike

In this article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.

Applications of TinyML in healthcare for a safer future

Smart pet wearables industry is on the move. Following in the footsteps of the human fitness tracker boom, emerging wireless solutions powered by short-range and cellular IoT technologies are helping pet owners monitor the health and track the location of their beloved companions anywhere, anytime.

Wireless technology helps boost pet health

Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.

Robots collect underwater litter

Ultra-precise lasers can be used for optical atomic clocks, quantum computers, power cable monitoring, and much more. But all lasers make noise, which researchers from DTU Fotonik want to minimize using machine learning.

Closer to the perfect laser