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Marco Camurri
Marco Camurri
Associate Professor, University of Trento
Dirección de correo verificada de unitn.it - Página principal
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The newer college dataset: Handheld lidar, inertial and vision with ground truth
M Ramezani, Y Wang, M Camurri, D Wisth, M Mattamala, M Fallon
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
2152020
Unified multi-modal landmark tracking for tightly coupled lidar-visual-inertial odometry
D Wisth, M Camurri, S Das, M Fallon
IEEE Robotics and Automation Letters 6 (2), 1004-1011, 2021
1392021
Cerberus: Autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the darpa subterranean challenge
M Tranzatto, F Mascarich, L Bernreiter, C Godinho, M Camurri, S Khattak, ...
arXiv preprint arXiv:2201.07067, 3, 2022
1382022
VILENS: Visual, inertial, lidar, and leg odometry for all-terrain legged robots
D Wisth, M Camurri, M Fallon
IEEE Transactions on Robotics 39 (1), 309-326, 2022
1252022
Probabilistic contact estimation and impact detection for state estimation of quadruped robots
M Camurri, M Fallon, S Bazeille, A Radulescu, V Barasuol, DG Caldwell, ...
IEEE Robotics and Automation Letters 2 (2), 1023-1030, 2017
1162017
Robust legged robot state estimation using factor graph optimization
D Wisth, M Camurri, M Fallon
IEEE Robotics and Automation Letters 4 (4), 4507-4514, 2019
1002019
Fast and continuous foothold adaptation for dynamic locomotion through cnns
OAV Magana, V Barasuol, M Camurri, L Franceschi, M Focchi, M Pontil, ...
IEEE Robotics and Automation Letters 4 (2), 2140-2147, 2019
912019
Pronto: A multi-sensor state estimator for legged robots in real-world scenarios
M Camurri, M Ramezani, S Nobili, M Fallon
Frontiers in Robotics and AI 7, 68, 2020
822020
Heterogeneous sensor fusion for accurate state estimation of dynamic legged robots
S Nobili, M Camurri, V Barasuol, M Focchi, D Caldwell, C Semini, ...
Robotics: Science and System XIII, 2017
802017
Heuristic planning for rough terrain locomotion in presence of external disturbances and variable perception quality
M Focchi, R Orsolino, M Camurri, V Barasuol, C Mastalli, DG Caldwell, ...
Advances in robotics research: From lab to market: ECHORD++: Robotic science …, 2020
772020
Hand segmentation for gesture recognition in ego-vision
G Serra, M Camurri, L Baraldi, M Benedetti, R Cucchiara
Proceedings of the 3rd ACM international workshop on Interactive multimedia …, 2013
752013
3D Hough transform for sphere recognition on point clouds: A systematic study and a new method proposal
M Camurri, R Vezzani, R Cucchiara
Machine vision and applications 25, 1877-1891, 2014
602014
Hilti-oxford dataset: A millimeter-accurate benchmark for simultaneous localization and mapping
L Zhang, M Helmberger, LFT Fu, D Wisth, M Camurri, D Scaramuzza, ...
IEEE Robotics and Automation Letters 8 (1), 408-415, 2022
592022
Multi-camera LiDAR inertial extension to the newer college dataset
L Zhang, M Camurri, D Wisth, M Fallon
arXiv preprint arXiv:2112.08854, 2021
522021
Development of the lightweight hydraulic quadruped robot—MiniHyQ
H Khan, S Kitano, M Frigerio, M Camurri, V Barasuol, R Featherstone, ...
2015 IEEE international conference on technologies for practical robot …, 2015
482015
Team cerberus wins the darpa subterranean challenge: Technical overview and lessons learned
M Tranzatto, M Dharmadhikari, L Bernreiter, M Camurri, S Khattak, ...
arXiv preprint arXiv:2207.04914, 2022
442022
Deep imu bias inference for robust visual-inertial odometry with factor graphs
R Buchanan, V Agrawal, M Camurri, F Dellaert, M Fallon
IEEE Robotics and Automation Letters 8 (1), 41-48, 2022
342022
Learning inertial odometry for dynamic legged robot state estimation
R Buchanan, M Camurri, F Dellaert, M Fallon
Conference on robot learning, 1575-1584, 2022
342022
Preintegrated velocity bias estimation to overcome contact nonlinearities in legged robot odometry
D Wisth, M Camurri, M Fallon
2020 IEEE International Conference on Robotics and Automation (ICRA), 392-398, 2020
332020
Balancing the budget: Feature selection and tracking for multi-camera visual-inertial odometry
L Zhang, D Wisth, M Camurri, M Fallon
IEEE Robotics and Automation Letters 7 (2), 1182-1189, 2021
292021
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Artículos 1–20