| Abstrak/Abstract |
The control device for quadrotor aerial vehicles
has garnered considerable attention in development endeavors
aimed at enhancing user interface and interaction in indoor environments. Quadrotor control mechanisms rely on sophisticated
remote transmitters, which often come at a substantial cost and
necessitate a proficient skill set for operation to adjust in limited
space. Consequently, an innovative paradigm to harness wearable
technology as a means of controlling multi-drone systems, thereby
streamlining user engagement. This novel approach harnesses
2.4 GHz radio frequency communication and leverages hand
gestures as a conduit for motion inputs, which are subsequently
processed via a machine learning algorithm augmented by a 9-
axis Inertial Measurement Unit (IMU) sensor suite. The primary
objective of this system pertains to the effective control of multi
drones in the context of obstacle avoidance missions in indoor
space. As such, this system embodies considerable promise as an
alternative avenue for multi-drone system control, characterized
by its intuitive nature and enhanced user accessibility. |
