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.

Get shared CAD, firmware, and a simple HTML interface for Sesame, helping you customize looks, motions, and power without guesswork.

Learn how to simulate a tipping stick with springs using Python! This video walks you through building a physics-based simulation that models spring forces, tipping motion, and friction step by step.

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 ...

Abstract: Recent studies have reported on the remarkable ability of bioinspired soft robots to exhibit dexterous and contact-friendly motions. However, for these robots with deformable bodies, it is ...

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