These 3 videos are a showcase of the general theory developed on [1] for any multi-rotor system, to the case of an hexarotor. The counterintuitive fact that standard hexarotors are not failsafe is explained and experiments showing that a tilted hexarotor is instead failsafe are shown.

These 3 videos show several comparative experiments on the new controller we developed for fully-actuated platforms: differently from state-of-the-art pseudoinversion-based controllers our proposed controller can cope with lateral force actuation bounds by prioritizing the tracking of the position over the rotational one. If the reference 6D trajectory is feasible then it is perfectly tracked, otherwise it is tracked at best while guaranteeing the overall stability of the platform.

This video shows a new method to control aerial manipulators that are procentric exploiting differential flatness and decentralized control.

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This video shows the control of physical interaction for the Tilt-Hex, a fully-actuated hexarotor platform.

This video introduces the differential flatness and control of protocentric aerial manipulators with any number of arms and possible elastic joints.

This video shows the experiments of inclined hovering with a tethered quadrotor and its application to take off and landing on/from inclined surfaces

This video shows human in the loop simulations with a haptic interface using our method to control a group of aerial robots to cooperatively manipulate an object like a flying hand.

This video shows real-robot experiments using our method solving the mutual localization of teams of ground and aerial robots with anonymous bearing (camera-like) measurements.

This video shows our work on the design and control of a hexarotor fully-actuated hexarotor platform

This video shows our work on the bilateral teleoperation of aerial vehicle with physical interaction.

These videos show our work on the observation and control of tethered aerial vehicles

This video shows the application of an aerial clearing algorithm whose goal is to let a group of aerial robots to explore a network of roads in a completely decentralized way.

This video shows a novel way to drive teleoperate an aerial robot by integrating bilateral teleoperation with haptic feedback and an autonomous path planner

These two videos show experiments where a quadrotor platform is able to autonomously regulate its velocity based only on a RGB-D sensor and IMU (External motion capture system is used only as ground truth).

These videos show both hardware-in-the-loop simulations and real experiments of a control method that allows a group of mobile robots (e.g., quadrotors) to achieve the desired formation only resorting to bearing (angles) measurements, like the ones that are retrievable from an on-board camera.

This video illustrates a motion planning technique solving the problem of planning a trajectory that connects two arbitrary states while allowing the a quadrotor UAV to grasp a moving target at some intermediate time.

This video shows the intercontinental bilateral (with force-feedback) shared control of a group of quadrotor UAVs implemented using a network connection based on a VPN tunnel between Germany and South Korea.

These videos show the potentiality of a new decentralized control that ensures the maintenance of a novel concept of connectivity. The generalized connectivity concept is able to embed several constraints, such as obstacle and inter-robot collision avoidance, limited visibility, limited range, and many other both local and global group objectives.

These videos show a human operator using a haptic device to teleoperate a group of 4 UAVs by controlling the velocity of only one leader.

In the video UAVs have limited-range and line-of-sight communication and perception. This defines an "interaction graph" whose topology can vary over time depending on the particular state of the system.

This video shows a human operator using a haptic device to teleoperate a realistic physical simulation of a team made by 6 UAVs (quadcopters) by means of controlling the velocity of only one leader.

This video shows simulations and experiments of a 3D encirclement strategy for collective control of multiple robots (both 2D and 3D).

This video shows simulations and experiments of the SRG (Sensor-based Random Graph) algorithm for multi-robot exploration. The robots are equipped with a laser range-finder. Experiments with small-scale robots are showed.