NanoFlowNet: Real-time optical flow estimation on a nano quadcopter

Nano quadcopters are small, agile, and cheap platforms well suited for deployment in narrow, cluttered environments. Due to their limited payload, nano quadcopters are highly constrained in processing power, rendering conventional vision-based methods for autonomous navigation incompatible. Recent machine learning developments promise high...

Flight control simulator using optic-flow Hardware-in-the-loop

The most simplistic acts in nature can be incredibly complex to replicate. Among which, insects in general, are profound micro-machines with evolution as the backbone for their most optimized features. This study focuses on developing an efficient sensing and processing strategy for autonomous flight maneuvers in Atalanta, a bio-inspired robotic...

Flight control and collision avoidance for quadcopter and flapping wing MAVs using only optical flow: Theory, Simulation and Experiment

Both quadcopter Micro Aerial Vehicles (MAVs) and Flapping Wing MAVs (FWMAVs) are constrained in Size, Weight and Processing power (SWaP) in order to achieve flight tasks that include attitude and velocity stabilisation, as well as obstacle avoidance. <br/>Conventional sensory and control approaches, such as those relying on inertial, visual and...

Simulation of optic flow based flight control for a flapping wing micro aerial vehicle

Bio-inspired flying micro drones, formally known as Flapping Wing Micro Aerial Vehicles (FWMAV) are a booming class of robots in today's world. Navigation and flight control of these drones is an interesting area of research that has become popular among roboticists and engineers due to its challenges. A bio-inspired optic flow based flight...