Projects List
- Soft nonholonomic constraints: Theory and applications to optimal control
- Design and Modeling of a Novel Single-Actuator Differentially Driven Robot
- Depth estimation from edge and blur estimation
- Occlusion detection & handling in monocular SLAM
- Autonomous Underwater Vehicle for Monitoring of Maritime Pollution
- Teleoperation of UAV with Haptic Feedback
- Advanced Control Strategies for Unmanned Aerial Vehicles
- Ground Vehicles Driver Assistance and Active Safety Control Systems
- Pedestrian Detection
- Towards Fully Autonomous Self-Supervised Free Space Estimation
- Object-Oriented Structure from Motion
- Humanoid Fall Avoidance
Teleoperation of UAV with Haptic Feedback
Unmanned aerial vehicles widely known as UAVs are specific type of flying machines that do not require human pilot onboard and can be remotely operated and controlled. In our research we are focusing mainly on the micro aerial vehicles and specifically the quadrotor (quadcopter) family. Because quadrotors are underactuated systems, a great understanding of aerodynamics must be acquainted regardless whether the system is autonomously or manually driven. As a result, precise remote control of quadrotors presents a challenging task because of the inherent loss of sensory perception during flight over a fast varying environment. Our research proposes a new technique to teleoperate quadrotors using haptic devices with force feedback. The control method aims at facilitating the flight process of UAVs by making it more natural and intuitive.
By: Ali Kanso