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Richard Bormann
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A survey on learning-based robotic grasping
K Kleeberger, R Bormann, W Kraus, MF Huber
Current Robotics Reports 1, 239-249, 2020
2302020
Room segmentation: Survey, implementation, and analysis
R Bormann, F Jordan, W Li, J Hampp, M Hägele
Robotics and Automation (ICRA), 2016 IEEE International Conference on, 1019-1026, 2016
1732016
Indoor coverage path planning: survey, implementation, analysis
R Bormann, F Jordan, J Hampp, M Hägele
2018 IEEE International Conference on Robotics and Automation (ICRA), 1718-1725, 2018
842018
New brooms sweep clean-an autonomous robotic cleaning assistant for professional office cleaning
R Bormann, J Hampp, M Hägele
2015 IEEE International Conference on Robotics and Automation (ICRA), 4470-4477, 2015
602015
Assistive technology design and development for acceptable robotics companions for ageing years
F Amirabdollahian, R op den Akker, S Bedaf, R Bormann, H Draper, ...
Paladyn, Journal of Behavioral Robotics 4 (2), 94-112, 2013
532013
Evaluation of 3D feature descriptors for classification of surface geometries in point clouds
G Arbeiter, S Fuchs, R Bormann, J Fischer, A Verl
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
462012
Towards Automated Order Picking Robots for Warehouses and Retail
R Bormann, BF de Brito, J Lindermayr, M Omainska, M Patel
International Conference on Computer Vision Systems, 185-198, 2019
352019
Accompany: Acceptable robotiCs COMPanions for AgeiNG Years—Multidimensional aspects of human-system interactions
F Amirabdollahian, R Op den Akker, S Bedaf, R Bormann, H Draper, ...
2013 6th International Conference on Human System Interactions (HSI), 570-577, 2013
342013
Stable stacking for the distributor's pallet packing problem
M Schuster, R Bormann, D Steidl, S Reynolds-Haertle, M Stilman
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
312010
Initial design, implementation and technical evaluation of a context-aware proxemics planner for a social robot
KL Koay, D Syrdal, R Bormann, J Saunders, ML Walters, K Dautenhahn
Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan …, 2017
272017
Autonomous dirt detection for cleaning in office environments
R Bormann, F Weisshardt, G Arbeiter, J Fischer
2013 IEEE International Conference on Robotics and Automation, 1260-1267, 2013
272013
A feature descriptor for texture-less object representation using 2D and 3D cues from RGB-D data
J Fischer, R Bormann, G Arbeiter, A Verl
2013 IEEE International Conference on Robotics and Automation, 2112-2117, 2013
242013
Person recognition for service robotics applications
R Bormann, T Zwölfer, J Fischer, J Hampp, M Hägele
2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2013
232013
Increasing the robustness of random bin picking by avoiding grasps of entangled workpieces
M Moosmann, F Spenrath, K Kleeberger, MU Khalid, M Mönnig, J Rosport, ...
Procedia CIRP 93, 1212-1217, 2020
222020
Fast and accurate normal estimation by efficient 3d edge detection
R Bormann, J Hampp, M Hägele, M Vincze
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
182015
Multi-user identification and efficient user approaching by fusing robot and ambient sensors
N Hu, R Bormann, T Zwölfer, B Kröse
2014 IEEE International Conference on Robotics and Automation (ICRA), 5299-5306, 2014
182014
A visual dirt detection system for mobile service robots
R Bormann, J Fischer, G Arbeiter, F Weisshardt, A Verl
ROBOTIK 2012; 7th German Conference on Robotics, 1-6, 2012
172012
DirtNet: Visual Dirt Detection for Autonomous Cleaning Robots
R Bormann, X Wang, J Xu, J Schmidt
2020 IEEE International Conference on Robotics and Automation (ICRA), 1977-1983, 2020
162020
Transferring experience from simulation to the real world for precise pick-and-place tasks in highly cluttered scenes
K Kleeberger, M Völk, M Moosmann, E Thiessenhusen, F Roth, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
142020
Separating Entangled Workpieces in Random Bin Picking using Deep Reinforcement Learning
M Moosmann, M Kulig, F Spenrath, M Mönnig, S Roggendorf, O Petrovic, ...
Procedia CIRP 104, 881-886, 2021
132021
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