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  Indoor Quadrotor Teleoperation: On-Board State-Estimation and Obstacle Avoidance

Odelga, M., Stegagno, P., Kochanek, N., & Bülthoff, H. (2017). Indoor Quadrotor Teleoperation: On-Board State-Estimation and Obstacle Avoidance. Poster presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, BC, Canada.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-C40D-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-C40E-4
Genre: Poster

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 Creators:
Odelga, M1, 2, 3, Author              
Stegagno, P1, 2, 3, Author              
Kochanek, N2, 3, Author              
Bülthoff, HH2, 3, 4, Author              
Affiliations:
1Project group: Autonomous Robotics & Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528704              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
4Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              

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 Abstract: Indoor operation of Unmanned Aerial Vehicles (UAVs) is challenging due to the lack of GPS signal and often cramped spaces. The presence of obstacles in an unfamiliar environment requires reliable state estimation and active algorithms to prevent collisions. We present a teleoperated quadrotor UAV platform capable of accurate state-estimation and collision-free navigation.

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 Dates: 2017-09-25
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: OdelgaSKB2017
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Title: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
Place of Event: Vancouver, BC, Canada
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Title: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
Source Genre: Proceedings
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