- Abul K.M. Azad
- Research
- SCEFMAS-Local
Standalone Systems
LEAP Motion Control
This project uses the LEAP Motion Controller to capture hand gesture images to control an RC car. Specific gestures control the car's motors and claw. The right hand operates the car, while the left hand operates the claw. The LEAP Motion Controller interprets seven different hand movements with the right hand to manage the various movements of the RC car. Demo Video
Eyeball Motion Control
This project uses a webcam and an embedded processor board to analyze eyeball motion to control an RC car. The camera continuously captures images of the eyeball, which are processed by Python code through a six-step procedure to generate commands for driving the RC car. The RC car is wirelessly connected to the embedded processor board. Demo Video
Roomba Create
The Roomba Create allows for programming new robot behaviors and is equipped with various sensors. Data can be transmitted to a computer via Bluetooth. In this project, the data is sent to a LabVIEW program for controller design, and control commands are sent back to the Roomba Create through Bluetooth communication. A graphical user interface (GUI) has been developed and published as a web page to control the Roomba over the Internet. Additionally, a web camera is mounted on the system to monitor the Roomba’s travel path. Demo Video
SCEFMAS- Standalone
The SCEFMAS is a software environment designed for simulating and controlling flexible manipulator systems. Developed using MATLAB and Simulink, it offers a variety of simulation and control exercises. This version is hosted on a standalone workstation and includes implementations of finite difference, finite element, neural network, fuzzy logic, and genetic algorithm techniques. This web page provides a video demonstration of some of these developments:
- Finite Element
- Finite Difference
- GA Modeling
- NN Modeling
- Open Loop Response
- Gaussian Torque Command
- Shaped Input 3
- JBC Controller
- Hybrid Controller
- Adaptive JBC Controller
- Adaptive Hybrid Controller
- Adaptive Neuro Inverse Controller