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所在平台: Udemy |
课程主页: https://www.udemy.com/course/obstacle-avoidance-robot-using-raspberry-pi-pico/
课程评论：没有评论
课程名称：基于 Raspberry Pi Pico 的避障机器人 课程概述：本课程深入探讨机器人技术，特别是如何设计和实施能够在复杂环境中自主导航的机器人。课程特别适合对机器人、人工智能和嵌入式系统感兴趣的学生，提供理论与实践相结合的基础知识。在课程中，学生将参与多个动手项目，设计、构建并编程装备有传感器以检测和避开障碍物的机器人。同时，我们将逐步构建一些基础项目，例如自动障碍系统、圣诞灯和交通灯等，逐步推进到避障机器人项目的实现。 课程内容涵盖了多个关键主题，包括传感器集成，运用超声波传感器使机器人准确感知周围环境。学生也将学习避障算法的开发，掌握导航技术的实现，此外，还将探讨 L298N 电机驱动器在直流电机速度控制中的应用。 除了技术技能，课程还强调问题解决和批判性思维，挑战学生在实时环境中排除故障并优化机器人性能。课程结束时，学生将全面掌握创建能够自主在动态环境中导航的机器人的知识，为今后的深造或在机器人、自动化及人工智能技术领域的职业生涯做好充分准备。
The "Obstacle Avoidance Robot" course is an in-depth exploration into the world of robotics, focusing on the design and implementation of autonomous robots capable of navigating complex environments. This course is tailored for students who are interested in robotics, artificial intelligence, and embedded systems, providing a solid foundation in both the theoretical and practical aspects of robot navigation.Throughout the course, students will engage in hands-on projects that involve designing, building, and programming robots equipped with sensors to detect and avoid obstacles. We shall also be building some basic projects as we progress towards building the obstacle avoidance robot, like Automated barrier system, Christmas Light, Traffic Light etc.The curriculum covers essential topics such as sensor integration, including ultrasonic sensor to enable the robot to perceive its surroundings accurately. Students will also delve into algorithm development for obstacle detection and avoidance, learning how to implement navigation techniques, we shall also explore the use of L298N Motor driver for speed control of geared DC (direct current) motors.In addition to technical skills, the course emphasizes problem-solving and critical thinking, challenging students to troubleshoot and optimize their robot's performance in real-time. By the end of the course, students will have a comprehensive understanding of how to create robots that can autonomously navigate dynamic environments, making them well-prepared for advanced studies or careers in robotics, automation, and AI-driven technologies.
