Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...
Local high school and college robotics teams are exploring new ways to integrate blockchain technology into their work, starting with simple automation and data tracking experiments. As they explore ...
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 ...
This library provides a geometric algebra tools targeted towards robotics applications. It includes various computations for the kinematics and dynamics of serial manipulators as well as optimal ...
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 ...