The Flying Machine Arena as of 2010

Lupashin, Sergei; Schöllig, Angela; Hehn, Markus; D’Andrea, Raffaello

doi:10.1109/icra.2011.5980308

Cited by 42 publications

(19 citation statements)

References 5 publications

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“…It implements the principle of compensation of reactive moments about the axis of direction of rotation. Since the motion of the gears of both motors is independent of each other, the thrust on each of them can be varied independently (Lupashin et al 2011). When the upper rotor is made to rotate fast during flight, it allows the lower rotor to absorb more air, thereby decreasing the power needed to develop lift as compared with a single rotor helicopter.…”

Section: Coaxial Vs Single Rotor Vehiclementioning

confidence: 99%

Design Analysis and Construction of Energy Harvesting Coaxial Helicopter

Singh¹,

Sharma²

2013

Aviation

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Abstract. With the growing need for technology, the tendency for errors has increased many times, which often results in loss of human lives. Our main aim of this paper is to show the implementation of a coaxial rotor aerial vehicle that can be controlled by a radio frequency transmitter. The helicopter is capable of manoeuvring in an area where real helicopters cannot. The area could be a flooded region, a place hit by an earthquake, or a building on fire. The main aim is to transmit video of that place to a base station by the camera attached to the helicopter. Various factors required to make a safe and successful coaxial helicopter are discussed and extensive flight testing proves that this flying machine is better in efficiency and performance than a traditional single rotor aerial vehicle. The relation of flight parameters like torque, induced power, rpm, pitch, and total power are discussed. A piezoelectric sensor is used to determine the vibrations occurring in the body so that they can be minimised. A successful attempt to convert the vibrations into a charge by piezoelectric energy harvesters is made.

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Section: Coaxial Vs Single Rotor Vehiclementioning

confidence: 99%

Design Analysis and Construction of Energy Harvesting Coaxial Helicopter

Singh¹,

Sharma²

2013

Aviation

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“…This multidisciplinary field requires both the development of adequate methods for hover-capable UAVs (in order to physically interact with the environment), and the investigation of nonstandard material systems and new construction processes [7]. Building upon the infrastructure developed within the Flying Machine Arena project [8], we demonstrated the ability of quadrocopters to erect structures by assembling a 6 meter tower out of 1500 foam modules during the Flight Assembled Architecture installation [9]. First steps into aerial construction of truss structures have been presented in [10], where F. Augugliaro quadrocopters were employed to build cubic structures consisting of bars containing magnets.…”

Section: Introductionmentioning

confidence: 99%

Building tensile structures with flying machines

Augugliaro

Mirjan

Gramazio

et al. 2013

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems

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This paper presents the building of lightweight tensile structures with quadrocopters. The construction elements (such as ropes, cables, and wires) in this kind of structure are subject to tension forces. This paper identifies the basic building elements (nodes, links) required for the construction of tensile structures, and translates them into meaningful trajectories for quadrocopters. The use of a library of building elements is suggested. Hybrid force-position control strategies based on admittance control are exploited. Prototypical tensile structures are built by quadrocopters to validate the proposed approach. An accompanying video shows the building process.

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“…Amazing results have been shown using MAVs for acrobatic maneuvers with the help of external tracking systems, such as the work by Lupashin [1] and Mellinger [2].…”

Section: Introductionmentioning

confidence: 99%

Robust state estimation for Micro Aerial Vehicles based on system dynamics

Burri¹,

Datwiler²,

Achtelik³

et al. 2015

2015 IEEE International Conference on Robotics and Automation (ICRA)

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In this work, we present a model-based estimation scheme for multi-rotor Micro Aerial Vehicles (MAVs). Although modeling approaches for MAVs have been presented in the past, these models have rarely been used for real-time state estimation onboard MAVs. Building on this work, we identify the most dominant effects and propose an easy-to-use calibration scheme for estimation of the model parameters. Given the calibration estimates for these parameters, we derive a state estimator where the state prediction of the indirect Extended Kalman Filter (EKF) is driven by a MAV model. Solely using measurements from the Inertial Measurement Unit (IMU) and a barometric pressure sensor -both available on almost every MAV -our model-based formulation keeps the estimated velocity of the MAV bounded in all directions, as opposed to state of the art IMU-model driven state estimators onboard MAVs. This is crucial for keeping MAVs airborne safely, for instance in the case of failures or re-initialization of vision based localization systems.

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The Flying Machine Arena as of 2010

Cited by 42 publications

References 5 publications

Design Analysis and Construction of Energy Harvesting Coaxial Helicopter

Design Analysis and Construction of Energy Harvesting Coaxial Helicopter

Building tensile structures with flying machines

Robust state estimation for Micro Aerial Vehicles based on system dynamics

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