| Active exploration using gaussian random fields and gaussian process implicit surfaces S Caccamo, Y Bekiroglu, CH Ek, D Kragic 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 39 | 2016 |
| RCAMP: A resilient communication-aware motion planner for mobile robots with autonomous repair of wireless connectivity S Caccamo, R Parasuraman, L Freda, M Gianni, P Ögren 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 33 | 2017 |
| Extending a ugv teleoperation flc interface with wireless network connectivity information S Caccamo, R Parasuraman, F Båberg, P Ögren 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 26 | 2015 |
| A new ugv teleoperation interface for improved awareness of network connectivity and physical surroundings R Parasuraman, S Caccamo, F Båberg, P Ögren, M Neerincx arXiv preprint arXiv:1710.06785, 2017 | 24 | 2017 |
| Active perception and modeling of deformable surfaces using gaussian processes and position-based dynamics S Caccamo, P Güler, H Kjellström, D Kragic 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 24 | 2016 |
| CRAWDAD dataset kth/rss (v. 2016-01-05) R Parasuraman, S Caccamo, F Baberg, P Ogren CRAWDAD wireless network data archive 1, 2016 | 23 | 2016 |
| Joint 3D reconstruction of a static scene and moving objects S Caccamo, E Ataer-Cansizoglu, Y Taguchi 2017 International Conference on 3D Vision (3DV), 677-685, 2017 | 14 | 2017 |
| Optimal least-squares solution to the hand-eye calibration problem A Dekel, L Harenstam-Nielsen, S Caccamo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 12 | 2020 |
| A computational model for motor learning in insects P Arena, S Caccamo, L Patané, R Strauss The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 11 | 2013 |
| 3D object discovery and modeling using single RGB-D images containing multiple object instances W Abbeloos, E Ataer-Cansizoglu, S Caccamo, Y Taguchi, Y Domae 2017 International Conference on 3D Vision (3DV), 431-439, 2017 | 8 | 2017 |
| Adaptive object centered teleoperation control of a mobile manipulator F Båberg, Y Wang, S Caccamo, P Ögren 2016 IEEE International Conference on Robotics and Automation (ICRA), 455-461, 2016 | 8 | 2016 |
| Method and system for concurrent reconstruction of dynamic and static objects E Cansizoglu, SS Caccamo, Y Taguchi US Patent 10,832,078, 2020 | 5 | 2020 |
| Detecting and grouping identical objects for region proposal and classification W Abbeloos, S Caccamo, E Ataer-Cansizoglu, Y Taguchi, C Feng, TY Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 3 | 2017 |
| Free look UGV teleoperation control tested in game environment: Enhanced performance and reduced workload F Båberg, S Caccamo, N Smets, M Neerincx, P Ögren 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2016 | 3 | 2016 |
| An Approach to Retrieve from Communication Loss in Field Robots R Parasuraman, S Caccamo, L Freda, P Ogren, BC Min Robotics: Science and Systems, 2017 | 2 | 2017 |
| Team KTH’s Picking Solution for the Amazon Picking Challenge 2016 D Almeida, R Ambrus, S Caccamo, X Chen, S Cruciani, JFPBD Carvalho, ... Advances on Robotic Item Picking: Applications in Warehousing & E-Commerce …, 2020 | 1 | 2020 |
| Analysis of road damage with computer-vision based drive-by system S Caccamo, R Mrden, A Dekel Roads and Airports Pavement Surface Characteristics, 393-402, 2023 | | 2023 |
| Extended version of Adaptive Object Centered Teleoperation Control of a Mobile Manipulator F Båberg, Y Wang, S Caccamo, P Ögren | | 2023 |
| Imaging system and method for object detection and localization E Cansizoglu, W Abbeloos, SS Caccamo, Y Taguchi, Y Domae US Patent 10,909,369, 2021 | | 2021 |
| Enhancing geometric maps through environmental interactions S Caccamo KTH Royal Institute of Technology, 2018 | | 2018 |
Petter ÖgrenProfessor in Computer Science and Mobile Systems, KTH (division of Robotics, Perception and Learning確認したメール アドレス: kth.se