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Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning algorithms.
RoboBlocky (formerly RoboBlockly) is a web-based robot simulation environment for learning coding and math. Based on Blockly, it uses a simple puzzle-piece interface to program virtual Linkbot, Lego Mindstorms NXT and EV3, as well as to draw and animate for beginners to learn robotics, coding, math, science, and art.
Machine Learning techniques for Robot Programming by Demonstration, Lausanne, VD, CH: EPFL LASA, archived from the original on 2012-05-01. Reinforcement Learning and Learning of Motor Primitives, SC, USA: USC CLMC Lab. Calinon, Sylvain, Interactive teacher-student (trainer/coach-trainee/client) kinesthetic demonstration, CH.
It is a teaching and learning robot designed to teach programming. Children can build a robot from scratch and learn about a variety of robotic machinery and electronic parts. It also teaches the fundamentals of block-based programming , and helps children to develop their logical thinking and design skills.
A variety of robot platforms supported by VIPLE. ASU VIPLE is a Visual IoT/Robotics Programming Language Environment developed at Arizona State University. [1]ASU VIPLE is an educational platform designed with a focus on computational thinking, namely on learning how algorithms work without focusing on syntactic complexities.
Robot software is the set of coded commands or instructions that tell a mechanical device and electronic system, known together as a robot, what tasks to perform. Robot software is used to perform autonomous tasks. Many software systems and frameworks have been proposed to make programming robots easier.
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