| 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 | 214 | 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 | 140 | 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 | 139 | 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 | 129 | 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 | 115 | 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 | 99 | 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 | 89 | 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 | 83 | 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 | 74 | 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 | 61 | 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 | 49 | 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 | 35 | 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 | 35 | 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 | 29 | 2021 |
| Elastic and efficient LiDAR reconstruction for large-scale exploration tasks Y Wang, N Funk, M Ramezani, S Papatheodorou, M Popović, M Camurri, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 5035-5041, 2021 | 25 | 2021 |
Maurice FallonAssociate Professor, University of OxfordEmail được xác minh tại robots.ox.ac.uk
