| 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 | 216 | 2020 |
| 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 | 141 | 2022 |
| 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 | 141 | 2021 |
| 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 | 130 | 2022 |
| 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 | 117 | 2017 |
| 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 | 102 | 2019 |
| 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 | 90 | 2019 |
| 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 | 85 | 2020 |
| 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 | 79 | 2020 |
| 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 | 78 | 2017 |
| 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 | 75 | 2013 |
| 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 | 62 | 2022 |
| 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 | 60 | 2014 |
| Multi-camera lidar inertial extension to the newer college dataset L Zhang, M Camurri, D Wisth, M Fallon arXiv preprint arXiv:2112.08854, 2021 | 53 | 2021 |
| 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 | 50 | 2015 |
| 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 | 37 | 2022 |
| Learning inertial odometry for dynamic legged robot state estimation R Buchanan, M Camurri, F Dellaert, M Fallon Conference on robot learning, 1575-1584, 2022 | 36 | 2022 |
| 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 | 36 | 2020 |
| 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 | 31 | 2021 |
| Factor graph fusion of raw GNSS sensing with IMU and lidar for precise robot localization without a base station J Beuchert, M Camurri, M Fallon 2023 IEEE International Conference on Robotics and Automation (ICRA), 8415-8421, 2023 | 26 | 2023 |
Maurice FallonAssociate Professor, University of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
Claudio SeminiHead of the Dynamic Legged Systems Lab at Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
David WisthCo-Founder & CTO, NavLive在 navlive.co.uk 的电子邮件经过验证
Victor BarasuolResearcher at Istituto Italiano di Tecnologia (IIT)在 iit.it 的电子邮件经过验证
Michele FocchiAssistant professor - University of Trento在 unitn.it 的电子邮件经过验证
Milad RamezaniTeam Leader | Senior Research Scientist, CSIRO Data61在 data61.csiro.au 的电子邮件经过验证
Stéphane BazeilleAssistant professor, IRIMAS EA 7499, Université de Haute-Alsace在 uha.fr 的电子邮件经过验证
Russell BuchananUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Simona NobiliFellow Robotics Research Engineer, University of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
Luca FranceschiAmazon Web Services在 amazon.de 的电子邮件经过验证
Octavio Antonio Villarreal MagañaSanctuary Cognitive Systems在 sanctuary.ai 的电子邮件经过验证
Rita CucchiaraUniversità degli Studi di Modena e Reggio Emilia, Italia在 unimore.it 的电子邮件经过验证
Massimiliano PontilIstituto Italiano di Tecnologia & University College London在 iit.it 的电子邮件经过验证
Carlos MastalliResearch Scientist, Heriot-Watt University and IHMC在 hw.ac.uk 的电子邮件经过验证
Romeo OrsolinoRobotics Research Engineer在 bp.com 的电子邮件经过验证
Hamza KhanPost Doc, University of Dundee在 dundee.ac.uk 的电子邮件经过验证Andreea RadulescuDyson Technology Ltd.在 dyson.com 的电子邮件经过验证
Giuseppe SerraAssociate Professor of Computer Science, University of Udine在 uniud.it 的电子邮件经过验证
Lorenzo BaraldiAssociate Professor, University of Modena e Reggio Emilia在 unimore.it 的电子邮件经过验证
Roberto VezzaniUniversità di Modena e Reggio Emilia在 unimore.it 的电子邮件经过验证