Using the LEGO® NXT robotics kit, students construct and program robots to illustrate and explore the Fibonacci sequence. Within teams, students are assigned roles: group leader, chassis builder, arm builder, chief programmer, and Fibonacci verifier. By designing a robot that moves based on the Fibonacci sequence of numbers, they can better visualize how quickly the numbers in the sequence grow. To program the robot to move according to these numbers, students break down the sequence into simple algebraic equations so that the computer can understand the Fibonacci sequence.

Are you interested in taking your first steps in robotics? Do you seek a practical approach and want to learn by doing? Join our course and learn how to program a complete real-world robotic system with ROS!

The Robot Operating System (ROS) enables you to quickly build robotic applications through access to a large set of open-source software and tools. Over the years, ROS has become the essential tool for roboticists. A large community surrounds ROS and there has been extensive input from industrial users in the development of these tools.

Many of the new advanced robot capabilities for manipulation, perception, and navigation have been developed using ROS. Companies such as Airbus and Boeing are using ROS for several of their applications. And Delft University of Technology’s Team Delft Robotic System won two challenges at the Amazon Robotics Challenge 2016 with robots developed with ROS.

In this course, you will learn to use different ROS tools to create a complete robotic application. You will be working with your own standalone Ubuntu-Linux installations and with industrial and mobile robots on the physics-based simulation engine, Gazebo. You will learn to program and configure basic robotic tasks such as pick-and-place objects, and navigate through obstacles. You will then integrate all this knowledge to build an industrial production line with two robotic arms and a mobile robot.

Students further their understanding of the engineering design process while combining mechanical engineering and bioengineering to create an automated medical device. During the activity, students are given a fictional client statement and are required to follow the steps of the design process to create medical devices that help reduce the workload for hospital workers and increase the quality of patient care.

In this video we connect, bend and wire Bit-zee's IR sensor. This sensor will allow Bit-zee to receive commands from a universal remote control. Created by Karl Wendt.

This Wiki has been set up to help assist with learning FANUC's HandlingTool Operations and Programming. While the intention is to help the Erie Community College students of the Mechatronics program, it is freely available to anyone wishing to learn about the use of FANUC robots.

In this video we discuss some of the key parts of Bit-zee. Created by Karl Wendt.

This book introduces concepts in mobile, autonomous robotics to 3rd-4th year students in Computer Science or a related discipline. The book covers principles of robot motion, forward and inverse kinematics of robotic arms and simple wheeled platforms, perception, error propagation, localization and simultaneous localization and mapping. The cover picture shows a wind-up toy that is smart enough to not fall off a table just using intelligent mechanism design and illustrate the importance of the mechanism in designing intelligent, autonomous systems. This book is open source, open to contributions, and released under a creative common license.

Textbook covering topics orienting undergraduate-level students to the major engineering disciplines (civil, computer and electronic, and mechanical) and professionalism within these disciplines.

In this video we create and wire Bit-zee's tri-color LED eyes. Created by Karl Wendt.

LEGO Robotics Curriculum, based on LEGO We-Do System.
Approximately one semester (45-minute periods, 5 days per week).
[Work in progress!]

LEGO® robotics uses LEGO®s as a fun tool to explore robotics, mechanical systems, electronics, and programming. This seminar is primarily a lab experience which provides students with resources to design, build, and program functional robots constructed from LEGO®s and a few other parts such as motors and sensors.

This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.

The Mission to Mars curricular unit introduces students to Mars the Red Planet. Students discover why scientists are so interested in studying this mysterious planet. Many interesting facts about Mars are revealed, and the history of Martian exploration is reviewed. Students will learn about the development of robotics and how robots are beneficial to science, society and the exploration of space. Details on engineers' involvement in space exploration are presented. Furthermore, students will learn how orbits allow astronauts to move from planet to planet and what type of equipment is used by scientists and engineers to safely explore space. Lastly, the specific details on and human risks for a possible future manned mission to Mars (and back to Earth again!) are discussed.

MASLab (Mobile Autonomous System Laboratory), also known as 6.186, is a robotics contest. The contest takes place during MIT’s Independent Activities Period and participants earn 6 units of P/F credit and 6 Engineering Design Points. Teams of three to four students have less than a month to build and program sophisticated robots which must explore an unknown playing field and perform a series of tasks.
MASLab provides a significantly more difficult robotics problem than many other university-level robotics contests. Although students know the general size, shape, and color of the floors and walls, the students do not know the exact layout of the playing field. In addition, MASLab robots are completely autonomous, or in other words, the robots operate, calculate, and plan without human intervention. Finally, MASLab is one of the few robotics contests in the country to use a vision based robotics problem.

In this video we take you step by step through building the L298 Motor driver. This controller allows you to use your Arduino to control the hair dryer motors used to move the Bit-zee bot. Created by Karl Wendt.

In this video we show you how to attach and wire the L-298 motor controller board to Bit-zee's frame. Created by Karl Wendt.