Andy Clark, Kareema Gittens and Maria Gilbert
Advisor: Dr Yaser Khalifa
Our project goal is to design an autonomous robotic system to navigate an unknown obstacle course through the use of sensors and evolutionary neural networking technology
Robotic Chassis
Microprocessor
Neural Networking
Motors and gear train a sequence of gears for increasing torque and decreasing speed and angular velocity of a motor.
CPU, interface, and sensors. Control system centered around a Motorola 68HC11 microcontroller.
Artificial Intelligence programming that utilizes evolutionary genetic algorithms for learned stimulus response.
Were designing an autonomous mobile navigator that is capable of:
moving forwards and backwards as needed.
Navigate through an obstacle course without any pre-programming
So far we have:
Completed the hardware portion of the robot.
Decided on the Motorola 68HC11.
Researched Neural Networking.