A robot hand built from Lego pieces by a 16-year-old and his father can grab and move objects, displaying similar qualities to a leading robotic hand. Jared Lepora, a student at Bristol Grammar School, UK, began developing the hand when he was 14 with his father, Nathan Lepora, who works at the University of Bristol. The device borrows principles from cutting-edge robotic hands, including the Pisa/IIT SoftHand, but uses only off-the-shelf parts from Lego Mindstorms, a line of educational kits for building programmable robots. "My dad's a professor at Bristol University for robotics, and I really liked the designs [of robotic hands]," says Jared. "It just inspired me to do it in an educational format and out of Lego." The hand is driven by two motors using tendons, and each of its four fingers has three joints.

Abstract-- This paper introduces an anthropomorphic robot hand built entirely using LEGO MINDSTORMS: the Educational SoftHand-A, a tendon-driven, highly-underactuated robot hand based on the Pisa/IIT SoftHand and related hands. T o be suitable for an educational context, the design is constrained to use only standard LEGO pieces with tests using common equipment available at home. The hand features dual motors driving an agonist/antagonist opposing pair of tendons on each finger, which are shown to result in reactive fine control. The finger motions are synchonized through soft synergies, implemented with a differential mechanism using clutch gears. Altogether, this design results in an anthropomorphic hand that can adaptively grasp a broad range of objects using a simple actuation and control mechanism. Since the hand can be constructed from LEGO pieces and uses state-of-the-art design concepts for robotic hands, it has the potential to educate and inspire children to learn about the frontiers of modern robotics.

This book will show you the difference between making a robot move and making a robot think. Using Mindstorms EV3 and LeJOS―an open source project for Java Mindstorms projects―you'll learn how to create Artificial Intelligence for your bot. Your robot will learn how to problem solve, how to plan, how to learn, and how to communicate. Along the way, you'll learn about classical AI algorithms for teaching hardware how to think, algorithms that you can then apply to your own robotic inspirations. If you've ever wanted to learn about robotic intelligence in a practical, playful way, Beginning Robotics Programming in Java with LEGO Mindstorms is for you.

STEM skills are in high demand right now, making toys that teach science and engineering popular with parents hoping to give their kids a leg up in the job market. Products like Hasbro's new robot that teaches coding have joined kits like Lego Mindstorms on store shelves. Now Sony is making its own plunge into STEM education with the Koov robotics kit, with its decades of design experience being put to work in the hopes of training the next generation of engineers. Koov has a lot in common with Lego Mindstorms: Both are building sets that revolve around taking a "core" processing unit and attaching motors, sensors and non-connected colored blocks to it, with the assembled robot programmed via an app. But Koov blocks are more cube-like, each piece designed around sets of four boxes reminiscent of Tetris.

This paper presents a case study in combining Lego Mindstorms NXT with Matlab/Simulink to help students in an undergraduate Machine Learning course study genetic algorithm design and testing. The project uses the VU-LRT toolbox to enable students to access the hardware capabilities of the Mindstorms platform from within Matlab. The course's enrollment was comprised of students from several majors with a variety of programming backgrounds. The course is part of an interdisciplinary cognitive science concentration. We report on the VU-LRT toolbox, the considerations imposed by the diversity of the student population on the design of the laboratory module and student evaluations of the laboratory module.

Integrating robotics activities in science curriculum provides rich opportunities to engage students in real world science and help them to develop conceptual understanding of physics principles through the process of investigation, data analysis, engineering design, and construction. In addition, students become more confident learners and develop better problem-solving and teamwork skills. In this paper we describe a successful use of LEGO® MINDSTORMS® in designing robotics-based activities for teaching high school physics classes. Students design and perform novel science investigations with a toolset that helps them achieve a high reproducibility in their experimental designs. Several example projects that utilize LEGO MINDSTORMS are presented.