AI News, Robocopters Unite!
- On Sunday, December 24, 2017
- By Read More
Advertisement The meter-long helicopters lined up under the fluorescent lab lights at the Berlin Technical University might look like overgrown toys, but they’ve got a little more under the hood.
Researchers expect they’ll be used to distribute sensors that would help coordinate firefighting efforts or search flood zones, to track or find people and vehicles, or to shoot movies and cover sports events.
Estonian robotics engineer Konstantin Kondak, a professor at TU Berlin and one of the project’s leaders, says that having three or four copters in the air, each sharing the load while tethered by a rope to a single object, creates too many contrary forces for a set of human pilots to handle: ”If you try to do this flying manually, it is not a stable system.
The helicopters’ coordination comes from a system that integrates four software modules for stabilizing the copter: one for navigation, one for exploration, one for obstacle avoidance, and one for processing orientation, horizon, and position.
Just a few centimeters across and 7 millimeters thick, the individual nodes transmit over a range of just 25 meters, but as a network they pass radio messages to one another to get to a central unit (or hovering robocopter).
AWARE: Platform for Autonomous self-deploying and operation of Wireless sensor-actuator networks cooperating with unmanned AeRial vehiclEs
Abstract: This paper presents the AWARE platform that seeks to enable the cooperation of autonomous aerial vehicles with ground wireless sensor-actuator networks comprising both static and mobile nodes carried by vehicles or people.
Particularly, the paper presents the middleware, the wireless sensor network, the node deployment by means of an autonomous helicopter, and the surveillance and tracking functionalities of the platform.
Multi-UAV Cooperation and Control for Load Transportation and Deployment
Bernard, M., Kondak, K.: Generic slung load transportation system using small size helicopters.
Bernard, M., Kondak, K., Hommel, G.: Load transportation system based on autonomous small size helicopters.
Corke, P., Hrabar, S., Peterson, R., Rus, D., Saripalli, S., Sukhatme, G.: Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle.
Huntsberger, T.L., Trebi-Ollennu, A., Aghazarian, H., Schenker, P.S., Pirjanian, P., Nayar, H.D.: Distributed control of multi-robot systems engaged in tightly coupled tasks.
Kondak, K., Bernard, M., Losse, N., Hommel, G.: Elaborated modeling and control for autonomous small size helicopters.
Kosuge, K., Sato, M.: Transportation of a single object by multiple decentralized-controlled nonholonomic mobile robots.
Li, H., Karray, F., Basir, O., Song, I.: A framework for coordinated control of multiagent systems and its applications.
Maza, I., Ollero, A.: Multiple UAV cooperative searching operation using polygon area decomposition and efficient coverage algorithms.
Merino, L.: A cooperative perception system for multiple unmanned aerial vehicles.
Smith, G.: The contract net protocol: high-level communication and control in a distributed problem solver.
Sukkarieh, S., Nettleton, E., Kim, J.H., Ridley, M., Goktogan, A., Durrant-Whyte, H.: The ANSER project: data fusion across multiple uninhabited air vehicles.
Viguria, A., Maza, I., Ollero, A.: SET: An algorithm for distributed multirobot task allocation with dynamic negotiation based on task subsets.
Viguria, A., Maza, I., Ollero, A.: S+T: an algorithm for distributed multirobot task allocation based on services for improving robot cooperation.
An Indoor Localization Framework for Four-Rotor Flying Robots Using Low-Power Sensor Nodes
Abstract: We study the relevance of highly precise indoor localization techniques for quadrocopters and present an ultrasonic sensor system that achieves excellent localization performance, although the system has to rely on the limited computation resources of sensor nodes used for time-of-flight-based localization.
Nonetheless, the detection of such drifts is strongly necessary for indoor operation-without any corrections, the quadrocopter would quickly cause a collision.
To compensate for the dislocation, we developed an indoor-localization framework for time-of-flight-based localization using ultrasonic sensors.
- On Friday, January 17, 2020
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