The walking robot project

A walking robot was designed, analyzed, and tested as an intelligent, mobile, and a terrain adaptive system. The robot's design was an application of existing technologies. The design of the six legs modified and combines well understood mechanisms and was optimized for performance, flexibility, and simplicity. The body design incorporated two tripods for walking stability and ease of turning. The electrical hardware design used modularity and distributed processing to drive the motors. The software design used feedback to coordinate the system and simple keystrokes to give commands. The walking machine can be easily adapted to hostile environments such as high radiation zones and alien terrain. The primary goal of the leg design was to create a leg capable of supporting a robot's body and electrical hardware while walking or performing desired tasks, namely those required for planetary exploration. The leg designers intent was to study the maximum amount of flexibility and maneuverability achievable by the simplest and lightest leg design. The main constraints for the leg design were leg kinematics, ease of assembly, degrees of freedom, number of motors, overall size, and weight

Assistant Suite

This project was conducted to demonstrate a voice-to-mechanical application from one source to multiple platforms with the use of hardware-to-software technology. The main platforms that are used for implementation is an Amazon Echo Dot, which serves as the voice interceptor to transcribe speech through integrated software hosted within the Amazon Web Services (AWS) cloud network, and a Raspberry Pi microcontroller, which serves as the device which controlled mechanical movements based on what is transcribed from the Echo. The user can speak a command into the Echo to control the movement of one of two RC cars without any physical engagement. The Echo utilizes Wi-Fi to connect to the AWS cloud network to transcribe the speech, which then goes through a series of channels to communicate with a microcontroller that is connected to its own RC car to cause that selected RC car to move in a specified direction. For example, the user can speak a command that says “Alexa, move car A forward for two seconds,” and this will translate to the selected car to motion forward for a total of two seconds. The project also displays the usefulness of being able to speak to multiple microcontrollers connected to separate devices under a single application; this caters to the convenience of not having to close and open separate applications every time a different connection is needed.https://scholarscompass.vcu.edu/capstone/1193/thumbnail.jp

Selection Of Microcontroller Type As An Implementation Of ANP (Analytical Network Process)

Practicum Material changes followed the development of microcontroller, also facilities and infrastructure that support the implementation of the practicum have to adjust to the latest type of microcontroller. The level of student's comprehension towards the type of microcontroller influenced the academic and curriculum developers to establish practicum material that is suitable to the syllabus. Curriculum developers will make an effective decision process to identify the factors that influence the selection of microcontrollers. These problems are modelled with Analytical Network Process (ANP). And the result is microcotroller type AT89S51/52 is better than the others. Keyword : Analytical Network Process, Decision Support System< Microcontroller