
How Humanoid Robots Learn From Humans: What Video Can Teach, and What It Can’t
Last updated 26 September 2026 1. Introduction In this article, we take a look at how humanoid robots learn through videos that show humans in…

Last updated 26 September 2026 1. Introduction In this article, we take a look at how humanoid robots learn through videos that show humans in…

Toolpath planning is the process of generating the precise geometric route and operating parameters that a robot or machine tool follows to perform a physical…

1. ROBOT MOTION PLANNING Robot motion planning is the broad problem of determining how a robot should move from an initial state to a desired…

How Autonomous Robots Navigate Dynamic Spaces in Real Time Robotic systems operating in commercial environments are increasingly required to move through spaces that are not…

RoboDK has introduced RoboDK CAM, a standalone CAM solution aimed at simplifying robotic machining workflows. The software targets a key challenge in automation: the complexity…

PID stands for Proportional, Integral, and Derivative, representing one of the most fundamental feedback control algorithms widely used in industrial automation, robotics, and automotive systems.…

Ever crashed a pricey robot prototype into a wall during testing? Or waited days for one trial-and-error run to wrap up? If you’re into robots—whether…

In robotics, physics engines and simulators serve different but complementary roles. A physics engine handles the mathematics of simulation such as computing forces, collisions, and…

NVIDIA and OpenAI have just entered into a partnership, to build 10 GW of AI data centers with NVIDIA GPUs. As each GW is deployed,…

A neural network is made of layers, and layers are made of nodes (also called neurons or units). It is these nodes that process input…