Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to ...

Abstract: Inverse kinematics contributes significantly to the execution of trajectory planning and control operations in robotics. Traditional inverse kinematics algorithms, predominantly utilized in ...

Learn forward kinematics through a solved example with a clear, step-by-step explanation. This guide walks you through positions, angles, and transformations, making it easier to understand robotic ...

Shares of iRobot, Richtech Robotics and Serve Robotics climbed following a report that the Trump administration is working on accelerating development of the robotics sector. Richtech shares were up ...

Explore the latest advancements in Artificial Intelligence and robotics, featuring humanoid robots from Unitree Robotics, Figure Robotics, and others demonstrating impressive movement, learning, and ...

Billionaire Elon Musk on Wednesday speculated money may become irrelevant in the future if current artificial intelligence (AI) and robotics innovations continue. The comments came as Musk was ...

Memo may not be the world’s fastest barista, but it is impressive—for a robot. I recently watched as Memo, a new home robot from a company called Sunday Robotics, made coffee in an open-plan kitchen ...

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, ...

We recently detailed Senate Bill 254, which overhauls California’s approach to wildfires. In addition to promoting new transmission facilities, replenishing the wildfire fund, streamlining the siting ...

The idea that we’re living inside a simulation, as popularized by “The Matrix” franchise, has piqued the interest of scientists for decades. In 2003, philosopher Nick Bostrom proposed in a highly ...

Particle Swarm Optimization (PSO) is a widely used solver for the Inverse Kinematics (IK) problem, offering competitive convergence rates compared to methods like Damped Least Squares and Forward and ...