We are witnessing the advent of a new era of robots—drones—that can autonomously fly in
natural and man-made environments. These robots, often associated with defence …

In recent years, research and development in aerial robotics (ie, unmanned aerial vehicles,
UAVs) has been growing at an unprecedented speed, and there is a need to summarize the …

We present the first perception-aware model predictive control framework for quadrotors that
unifies control and planning with respect to action and perception objectives. Our framework …

Abstract The Flying Machine Arena is a platform for experiments and demonstrations with
fleets of small flying vehicles. It utilizes a distributed, modular architecture linked by robust …

This paper explores the use of drones for entertainment with the emerging technology of
AVR (Augmented and Virtual Reality) over the past 10 years from 2006 to 2016. Drones …

We propose a lightweight embedded system for stabilization and control of Unmanned
Aerial Vehicles (UAVs) and particularly Micro Aerial Vehicles (MAVs). The system relies …

We present a novel stereo vision algorithm that is capable of obstacle detection on a mobile
ARM processor at 120 frames per second. Our system performs a subset of standard block …

The recent work on quadrotor have focused on more and more challenging tasks with
increasingly complex systems. Systems are often augmented with slung loads, inverted …

Collision detection and recovery for aerial robots remain a challenge because of the limited
space for sensors and local stability of the flight controller. We introduce a novel collision …

The Lobula giant movement detector (LGMD) is an identified neuron of the locust that
detects looming objects and triggers the insect's escape responses. Understanding the …