| Deepfruits: A fruit detection system using deep neural networks I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool sensors 16 (8), 1222, 2016 | 704 | 2016 |
| Control of a quadrotor with reinforcement learning J Hwangbo, I Sa, R Siegwart, M Hutter IEEE Robotics and Automation Letters 2 (4), 2096-2103, 2017 | 359 | 2017 |
| weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming I Sa, Z Chen, M Popovic, R Khanna, F Liebisch, J Nieto, R Siegwart IEEE Robotics and Automation Letters 3 (1), 588-595, 2018 | 205 | 2018 |
| System Identification, Estimation and Control for a Cost Effective Open-Source Quadcopter I Sa, P Corke Robotics and Automation (ICRA), 2012 IEEE International Conference on, 2012 | 143 | 2012 |
| WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming I Sa, M Popović, R Khanna, Z Chen, P Lottes, F Liebisch, J Nieto, ... Remote Sensing 10 (9), 1423, 2018 | 129 | 2018 |
| Only look once, mining distinctive landmarks from convnet for visual place recognition Z Chen, F Maffra, I Sa, M Chli 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 100 | 2017 |
| Vertical infrastructure inspection using a quadcopter and shared autonomy control I Sa, P Corke Field and service robotics, 219-232, 2014 | 93 | 2014 |
| Peduncle detection of sweet pepper for autonomous crop harvesting—combined color and 3-D information I Sa, C Lehnert, A English, C McCool, F Dayoub, B Upcroft, T Perez IEEE Robotics and Automation Letters 2 (2), 765-772, 2017 | 77 | 2017 |
| Online informative path planning for active classification using uavs M Popovic, G Hitz, J Nieto, I Sa, R Siegwart, E Galceran arXiv preprint arXiv:1609.08446, 2016 | 75 | 2016 |
| Learning context flexible attention model for long-term visual place recognition Z Chen, L Liu, I Sa, Z Ge, M Chli IEEE Robotics and Automation Letters 3 (4), 4015-4022, 2018 | 74 | 2018 |
| Amz driverless: The full autonomous racing system J Kabzan, MI Valls, VJF Reijgwart, HFC Hendrikx, C Ehmke, M Prajapat, ... Journal of Field Robotics 37 (7), 1267-1294, 2020 | 64 | 2020 |
| Estimation and control for an open-source quadcopter I Sa, P Corke Proceedings of the 2011 Australasian Conference on Robotics and Automation …, 2011 | 61 | 2011 |
| Sweet pepper pose detection and grasping for automated crop harvesting C Lehnert, I Sa, C McCool, B Upcroft, T Perez 2016 IEEE international conference on robotics and automation (ICRA), 2428-2434, 2016 | 58 | 2016 |
| Visual detection of occluded crop: For automated harvesting C McCool, I Sa, F Dayoub, C Lehnert, T Perez, B Upcroft 2016 IEEE International Conference on Robotics and Automation (ICRA), 2506-2512, 2016 | 58 | 2016 |
| An informative path planning framework for UAV-based terrain monitoring M Popović, T Vidal-Calleja, G Hitz, JJ Chung, I Sa, R Siegwart, J Nieto Autonomous Robots 44 (6), 889-911, 2020 | 55 | 2020 |
| Inspection of pole-like structures using a vision-controlled VTOL UAV and shared autonomy I Sa, S Hrabar, P Corke 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 55 | 2014 |
| PDA-based mobile robot system with remote monitoring for home environment HS Ahn, IK Sa, JY Choi IEEE Transactions on Consumer Electronics 55 (3), 1487-1495, 2009 | 52 | 2009 |
| Multiresolution Mapping and Informative Path Planning for UAV-based Terrain Monitoring JN Marija Popović, Teresa Vidal-Calleja, Gregory Hitz, Inkyu Sa, Roland Siegwart IEEE Int. Conf. on Intel. Robots & Systems, 2017 | 50* | 2017 |
| Outdoor flight testing of a pole inspection UAV incorporating high-speed vision I Sa, S Hrabar, P Corke Field and Service Robotics, 107-121, 2015 | 50 | 2015 |
| Paintcopter: An autonomous uav for spray painting on three-dimensional surfaces AS Vempati, M Kamel, N Stilinovic, Q Zhang, D Reusser, I Sa, J Nieto, ... IEEE Robotics and Automation Letters 3 (4), 2862-2869, 2018 | 40 | 2018 |
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandVerified email at ethz.ch
