AI-powered delivery robots from companies like Serve Robotics are replacing human drivers across the nation — but they can’t ...

Overview:Python dominates job markets in emerging sectors like AI, data science, and cybersecurity.Ruby remains strong in web ...

This project provides a framework for controlling robots in robot hardware and MuJoCo simulation through XR (VR/AR) input devices. It allows users to manipulate robot arms using natural hand movements ...

Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...

IITs now offer various programs that do not require JEE scores, such as executive robotics (IIT Delhi), genetic engineering (IIT Guwahati), engineering mathematics (IIT Kharagpur), thermodynamics (IIT ...

From data science and artificial intelligence to machine learning, robotics, virtual and augmented reality, and UX strategy, IITs equip learners with industry-ready skills and bypass the traditional ...

If you have your eye on a career in the robotics industry, consider upping your skills via a convenient online or in-person learning platform.

Learn how to simulate Faraday’s Law in electrodynamics using Python (Part 2)! In this video, we continue our step-by-step tutorial on modeling electromagnetic induction, showing how changing magnetic ...

Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Kompass: a framework for building robust and comprehensive event-driven navigation stacks using an easy-to-use and intuitive Python API EmbodiedAgents: a fully-loaded framework for creating ...

To keep this tutorial practical, we'll simulate robot telemetry data using Python rather than connecting to actual physical robots. This simulator mimics real-world robot behavior and continuously ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...