Design of Platform for Teaching Robot Based on FPGA

Xilinx Spartan FPGAs lay the foundation for powerful teaching tools. This teaching tool can be self-transformed according to the needs of students.

There may be no more teaching equipment that is more interested in science and technology for junior and senior high school students than robots. For junior high school students and high school students, playing with robots is a practical way to master new concepts and see the use of technology. Building robots can inspire students to overcome intellectual problems and achieve excellent scientific and technical achievements.

To this end, I will use this article to introduce a teaching platform for teachers to use in robotics teaching activities in technical schools. The platform concept was put forward by the high school I taught (ITCS Erasmo da Rotterdam near Milan, Italy). It was only for the RoboCup Junior World Cup (RoboCup Junior). Our team is participating in the “Rescue Robots” category, which allows the machine to find victims in recurring disaster scenarios. These robots must perform multiple tasks with varying degrees of complexity, such as walking in a straight line on a flat road, judging the path through obstacles on rugged terrain, and saving some of the designated victims.

Compared to other common propagation platforms that use different types of microcomputers, our FPGA designs are open, flexible, evolving, and reusable.

We used the Digilent Nexys2 instructional development board to create the 2011 version of the robot based on the Xilinx Spartan®-3E device. At the time of this writing, we are porting this version to the Spartan-6 FPGA to participate in the next Italian Youth Robot World Cup, which will be held in April 2012. As planned, the next version (2013 version) will run on the Zynq TM -7000 scalable processing platform device.

In this way, we have designed a rescue robot that can evolve year after year, from the first prototype to the existing Nessie 2011 version (Nessie by Nexys and Loch Ness Monster) Name, the long neck of the Loch Ness monster is similar to our robot). FPGAs are highly flexible, allowing the architecture of the robot to be refactored as student knowledge grows without changing its basic physical structure and maintaining the same design infrastructure.

challenge
ITCS Erasmo da Rotterdam is a technical school located in the suburbs of Milan, northern Italy. The students are uneven and it is difficult to teach them to learn more about science and technology.

Since I started four years ago, I decided to start an open space. Later I called it the "Permanent Lab for Robotics", where students can experiment in a completely different way than standard classroom instruction. Here, they can access technical subjects in an interactive environment, explore some unusual topics, take courses that are of interest to them, arrange their work, and get feedback directly from practice. In other words, they experimented in the “active learning space” based on the long-standing and well-known “scenario cognition” model [1]. Here, students can not only collaborate with each other or cooperate with counselors, but also pursue common goals based on consensus.

In this learning space, students play a “cognitive apprenticeship” with multiple solutions. The teacher acts as an “expert” and is responsible for the specific process of presenting the actual tasks and strategies, allowing the students to experiment independently and to counsel when needed.

A fertile hotbed for the convergence of different disciplines and the exchange of knowledge, robots are the natural choice. We believe that the fun of participating in the Youth Robot World Cup competition strongly stimulates students' active participation in science and technology experiments.

Solution I realized that to make this approach work, I had to propose topics covered by general courses such as digital electronics and informatics, but mainly for applications that were more complex than those that students could solve independently. In this way they need to work together or need the assistance of a senior teacher who can come up with the right model.

I know what I need to make, but I don't know how to make it. Everything must be presented and developed in the lab, with students discussing the design and finding solutions.

After some deliberation, I came to the conclusion that the most feasible is to adopt a solution based on a flexible platform (such as FPGA) instead of a standard microcomputer. This is because FPGAs are the only devices that can meet the performance requirements and keep up with the dynamics and evolution of experimental activities.

I originally chose a Spartan-3E-based instructional board because it provides the necessary features we've been looking for—openness, flexibility, evolution, hardware reusability, and performance richness.

 Openness. Because students must actively participate in the entire design process, from the sensor interface to the CPU, and then from the CPU to the exciter.
 Flexibility. Because the entire architecture of the system and the nature and type of the device should not be determined in advance, it must be generated from the research process motivated by the creative learning environment.
演进 Evolution capability. Because after each World of Youth Robot World Cup, students must recognize the flaws in their work and learn how to make appropriate modifications to try to find more advanced solutions. The system must keep pace with the student's expertise.
 Reusability. To avoid unnecessary waste of hardware and school funding.
低成本 Low cost and high performance. We must control a large number of devices and peripherals that are not fully defined but need to run in parallel. The CPU should be very powerful, but the architecture is relatively simple and easy to interface.

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