Undergraduate Projects

Developing a Micro Aerial Vehicle (MAV)

Unmanned Aerial Vehicles (UAVs) with wide range of applications have gained much attention from both civilian and military societies. Particularly, small UAVS can be used for indoor mapping, inspection, reconnaissance, searching and maneuvering in hazardous environment. A recent example is using small UAVs for autonomous inspection of the crippled Fukushima nuclear reactors. This project aims to build an autonomous small quadrotor (a helicopter with four rotors) to carry out an indoor target searching mission with vision based navigation relying on a monocular camera. The system includes sensors, camera, communication device, battery, microprocessor, and other required instruments. The data feedback from the camera will transmit to main work station. The computer will analyze the real-time image data from sensors of the quadrotor with algorithms, such as SLAM, BTEKF (Bierman Thornton extended Kalman Filter), and send user customized instructions back to the quadrotor that will enable autonomous action. The team attended the American Helicopter Society (AHS) Micro Air Vehicle (MAV) Competition in May 2016 and was awarded for the “Best Autonomous High Altitude Landing”. The team also was ranked first in the College of Engineering 2016 Senior Design Competition.

Flight demonstration of the developed MAV.ACCESS Lab Team was awarded for
“Best Autonomous High Altitude Landing”.
The developed MAV.The finalist teams at AHS competition;
ACCESS Lab team on the left side.
ACCESS Lab team at the AHS competition.The team was ranked first in the
COE 2016 Senior Design Competition.

Smart port logistics and transportation systems

Sea transport is the largest carrier of freight. Logistics and quick turnaround of ships at cargo ports is an important part of sea transportation systems. With continued growing traffic at ports with limited capacity, the challenge is how to efficiently manage the traffic and logistic within the ports. To solve this problem, the team developed a smart robotic system to manage routing and transportation of the goods at a cargo port. This robotic system will automatically detect and identify different shipping containers and goods on a barge which are strategically placed in a harbor field. Correct shipping goods then will be picked up and transported to the correct shipping zone, to be further transported by a boat, by rail or by truck. The developed system is implemented on a small robot and court, simulating a real port system. The team also attended the IEEE SoutheastCon Hardware Competition 2016.

A team from the ACCESS Lab attended the IEEE SoutheastCon Hardware Competition 2016.Demonstration of the developed ground robot.The developed robot to be used for simulating port transportation systems.A team from the ACCESS Lab presented their robot at the IEEE SoutheastCon Hardware Competition 2016. The ACCESS Lab team is preparing the robot for the IEEE SoutheastCon Hardware Competition 2016.The ACCESS Lab Team presented their work at the COE 2016 Senior Design Expo.