| Rough terrain mapping and classification for foothold selection in a walking robot D Belter, P Skrzypczyński Journal of Field Robotics 28 (4), 497-528, 2011 | 131 | 2011 |
| Adaptive motion planning for autonomous rough terrain traversal with a walking robot D Belter, P Łabęcki, P Skrzypczyński Journal of Field Robotics 33 (3), 337-370, 2016 | 93 | 2016 |
| A biologically inspired approach to feasible gait learning for a hexapod robot D Belter, P Skrzypczyński Zielona Góra: Uniwersytet Zielonogórski, 2010 | 61 | 2010 |
| Integrated motion planning for a hexapod robot walking on rough terrain D Belter, P Skrzypczynski Preprints 18th IFAC World Congress, Milan, Italy, 6918-6923, 2011 | 54 | 2011 |
| Employing natural terrain semantics in motion planning for a multi-legged robot D Belter, J Wietrzykowski, P Skrzypczyński Journal of Intelligent & Robotic Systems 93, 723-743, 2019 | 52 | 2019 |
| A compact walking robot–flexible research and development platform D Belter, K Walas Recent advances in automation, robotics and measuring techniques, 343-352, 2014 | 40 | 2014 |
| Estimating Terrain Elevation Maps from Sparse and Uncertain Multi-Sensor Data D Belter, P Łabecki, P Skrzypczynski In proc. of 2012 IEEE International Conference on Robotics and Biomimetics …, 2012 | 40 | 2012 |
| Map-based adaptive foothold planning for unstructured terrain walking D Belter, P Łabeçki, P Skrzypczyński 2010 IEEE International Conference on Robotics and Automation, 5256-5261, 2010 | 40 | 2010 |
| MESSOR-VERSATILE WALKING ROBOT FOR SEARCH AND RESCUE MISSIONS K Walas, D Belter Journal of Automation, Mobile Robotics & Intelligent Systems 5 (2), 28-34, 2011 | 39 | 2011 |
| RGB-D terrain perception and dense mapping for legged robots D Belter, P Łabecki, P Fankhauser, R Siegwart International Journal of Applied Mathematics and Computer Science 26 (1), 81-97, 2016 | 35 | 2016 |
| Improving accuracy of feature-based RGB-D SLAM by modeling spatial uncertainty of point features D Belter, M Nowicki, P Skrzypczyński 2016 IEEE international conference on robotics and automation (ICRA), 1279-1284, 2016 | 34 | 2016 |
| Precise self‐localization of a walking robot on rough terrain using parallel tracking and mapping D Belter, P Skrzypczynski Industrial Robot: An International Journal 40 (3), 229-237, 2013 | 34 | 2013 |
| Learning better generative models for dexterous, single-view grasping of novel objects MS Kopicki, D Belter, JL Wyatt The International Journal of Robotics Research 38 (10-11), 1246-1267, 2019 | 33 | 2019 |
| Posture optimization strategy for a statically stable robot traversing rough terrain D Belter, P Skrzypczyński 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 29 | 2012 |
| On the performance of pose-based RGB-D visual navigation systems D Belter, M Nowicki, P Skrzypczyński Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 25 | 2015 |
| Practical aspects of detection and grasping objects by a mobile manipulating robot B Kulecki, K Młodzikowski, R Staszak, D Belter Industrial Robot: the international journal of robotics research and …, 2021 | 23 | 2021 |
| An experimental study on feature-based SLAM for multi-legged robots with RGB-D sensors MR Nowicki, D Belter, A Kostusiak, P Cížek, J Faigl, P Skrzypczyński Industrial Robot: An International Journal 44 (4), 428-441, 2017 | 23 | 2017 |
| Lightweight RGB-D SLAM system for search and rescue robots D Belter, M Nowicki, P Skrzypczyński, K Walas, J Wietrzykowski Progress in Automation, Robotics and Measuring Techniques: Volume 2 Robotics …, 2015 | 23 | 2015 |
| An exploration-based approach to terrain traversability assessment for a walking robot D Belter, P Labecki, P Skrzypczyński 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2013 | 20 | 2013 |
| Optimization-based legged odometry and sensor fusion for legged robot continuous localization D Belter, MR Nowicki Robotics and Autonomous Systems 111, 110-124, 2019 | 19 | 2019 |
Piotr SkrzypczynskiPoznan University of Technology在 put.poznan.pl 的电子邮件经过验证
