AEROARMS: AErial RObotics System integrating multiple ARMS and advanced manipulation capabilities for inspection and maintenance
AEROARMS proposes the development of the first aerial robotic system with multiple arms and advanced manipulation capabilities to be applied in industrial inspection and maintenance (I&M). The objectives are
1. R&D on aerial manipulation to perform I&M. This includes: 1.1 Based on previous partner results, developing systems which are able to grab and dock with one or more arms and perform dexterous accurate manipulation with another arm. Also develop helicopter-based aerial manipulators, with greater payload and flight endurance, and with a dexterous arm to provide advanced manipulation capabilities by means of force interactions and hand-eye coordination using a movable camera with another light arm; 1.2 New methods and technologies for platforms which can fly and manipulate with the coordinated motion of the arms addressing constrained scenarios in which it is dangerous to use the helicopter and where it is not possible to grab to perform I&M operation.
2. Validation of 1.1 in two applications: 1) Installation and maintenance of permanent NDT sensors on remote components; 2) Deploy and maintain a mobile robotic system permanently installed on a remote structure.
To achieve the above objectives AEROARMS will develop the first aerial telemanipulation system with advanced haptic capabilities able to exert significant forces with an industrial robotic arm, as well as autonomous control, perception and planning capabilities. Special attention will be paid to the design and system development in order to receive future certification taking into account ATEX and RPAS regulations.
Project web page
M. Villamizar, A. Garrell Zulueta, A. Sanfeliu and F. Moreno-Noguer. Random clustering ferns for multimodal object recognition. Neural Computing and Applications, 2017, to appear.
R. Rossi, A. Santamaria-Navarro, J. Andrade-Cetto and P. Rocco. Trajectory generation for unmanned aerial manipulators through quadratic programming. IEEE Robotics and Automation Letters, 2(2): 389-396, 2017.
A. Garrell Zulueta, M. Villamizar, F. Moreno-Noguer and A. Sanfeliu. Teaching robot’s proactive behavior using human assistance. International Journal of Social Robotics, 2017, to appear.
M. Villamizar, J. Andrade-Cetto, A. Sanfeliu and F. Moreno-Noguer. Boosted random ferns for object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, to appear.
A. Santamaria-Navarro, P. Grosch, V. Lippiello, J. Solà and J. Andrade-Cetto. Uncalibrated visual servo for unmanned aerial manipulation. IEEE/ASME Transactions on Mechatronics, 2017, to appear.
M. Villamizar, A. Garrell Zulueta, A. Sanfeliu and F. Moreno-Noguer. Interactive multiple object learning with scanty human supervision. Computer Vision and Image Understanding, 149: 51-64, 2016.
G. Sanromà, A. Penate-Sanchez, R. Alquézar Mancho, F. Serratosa, F. Moreno-Noguer, J. Andrade-Cetto and M.A. González. MSClique: Multiple structure discovery through the maximum weighted clique problem. PLOS One, 11(1): e0145846, 2016.
V. Lippiello, J. Cacace, A. Santamaria-Navarro, J. Andrade-Cetto, M.A. Trujillo, Y. Rodriguez and A. Viguria. Hybrid visual servoing with hierarchical task composition for aerial manipulation. IEEE Robotics and Automation Letters, 1(1): 259-266, 2016.
A. Pumarola, A. Vakhitov, A. Agudo, A. Sanfeliu and F. Moreno-Noguer. PL-SLAM: Real-time monocular visual SLAM with points and lines, 2017 IEEE International Conference on Robotics and Automation, 2017, Singapore, to appear.
I. Alzugaray and A. Sanfeliu. Learning the hidden human knowledge of UAV pilots when navigating in a cluttered environment for improving path planning, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016, Daejeon, Korea, pp. 1589-1594.
A. Rubio, L. Yu, E. Simo-Serra and F. Moreno-Noguer. BASS: Boundary-aware superpixel segmentation, 23rd International Conference on Pattern Recognition, 2016, Cancún, Mexico, to appear.
A. Amor, A. Santamaria-Navarro, F. Herrero, A. Ruiz and A. Sanfeliu. Planar P∅P: feature-less pose estimation with applications in UAV localization, 2016 IEEE International Symposium on Safety, Security and Rescue Robotics, 2016, Lausanne, pp. 15-20.
A. Penate-Sanchez, L. Porzi and F. Moreno-Noguer. Matchability prediction for full-search template matching algorithms, 2015 International Conference on 3D Vision, 2015, Lyon, pp. 353-361.