Georg Bartels
Georg Bartels
PhD student of Computer Science, Universität Bremen
Verified email at - Homepage
Cited by
Cited by
Know rob 2.0—a 2nd generation knowledge processing framework for cognition-enabled robotic agents
M Beetz, D Beßler, A Haidu, M Pomarlan, AK Bozcuoğlu, G Bartels
2018 IEEE International Conference on Robotics and Automation (ICRA), 512-519, 2018
Robotic agents capable of natural and safe physical interaction with human co-workers
M Beetz, G Bartels, A Albu-Schäffer, F Bálint-Benczédi, R Belder, ...
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Automatic artifact removal from EEG-a mixed approach based on double blind source separation and support vector machine
G Bartels, LC Shi, BL Lu
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
Constraint-based movement representation grounded in geometric features
G Bartels, I Kresse, M Beetz
2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids …, 2013
Adapting everyday manipulation skills to varied scenarios
P Gajewski, P Ferreira, G Bartels, C Wang, F Guerin, B Indurkhya, ...
2019 international conference on robotics and automation (ICRA), 1345-1351, 2019
Knowledge-based specification of robot motions
M Tenorth, G Bartels, M Beetz
ECAI 2014, 873-878, 2014
Learning models for constraint-based motion parameterization from interactive physics-based simulation
Z Fang, G Bartels, M Beetz
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Manipulation planning and control for shelf replenishment
M Costanzo, S Stelter, C Natale, S Pirozzi, G Bartels, A Maldonado, ...
IEEE Robotics and Automation Letters 5 (2), 1595-1601, 2020
Open robotics research using web-based knowledge services
M Beetz, D Beßler, J Winkler, JH Worch, F Bálint-Benczédi, G Bartels, ...
2016 IEEE International Conference on Robotics and Automation (ICRA), 5380-5387, 2016
Knowledge enabled high-level task abstraction and execution
J Winkler, G Bartels, L Mösenlechner, M Beetz
First Annual Conference on Advances in Cognitive Systems 2 (1), 131-148, 2012
Cognition-enabled robotic wiping: Representation, planning, execution, and interpretation
D Leidner, G Bartels, W Bejjani, A Albu-Schäffer, M Beetz
Robotics and Autonomous Systems 114, 199-216, 2019
Kineverse: A symbolic articulation model framework for model-agnostic mobile manipulation
A Röfer, G Bartels, W Burgard, A Valada, M Beetz
IEEE Robotics and Automation Letters 7 (2), 3372-3379, 2022
Multidimensional time-series shapelets reliably detect and classify contact events in force measurements of wiping actions
S Stelter, G Bartels, M Beetz
IEEE Robotics and Automation Letters 3 (1), 320-327, 2017
Perception-Guided Mobile Manipulation Robots for Automation of Warehouse Logistics: Interview with Dr. Moritz Tenorth, CTO of the Startup Magazino
G Bartels, M Beetz
KI-Künstliche Intelligenz 33 (2), 189-192, 2019
How to use openease: An online knowledge processing system for robots and robotics researchers
G Bartels, M Beetz, D Beßler, M Tenorth, JO Winkler
AAMAS, 1925-1926, 2015
A compliance-centric view of grasping
C Eppner, G Bartels, O Brock
Episodic Memories for Safety-Aware Robots: Knowledge Representation and Reasoning for Robots that Safely Interact with Human Co-Workers
G Bartels, D Beßler, M Beetz
KI-Künstliche Intelligenz 33, 123-130, 2019
An open-source motion planning framework for mobile manipulators using constraint-based task space control with linear MPC
S Stelter, G Bartels, M Beetz
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
From Research to Market: Building the Perception Systems for the Next Generation of Industrial Robots: Interview with Dr. Michael Suppa, CEO and Founder of the Startup Roboception
G Bartels, M Beetz
KI-Künstliche Intelligenz 33 (2), 193-196, 2019
Special Issue on Smart Production
M Ruskowski, T Legler, M Beetz, G Bartels
KI-Künstliche Intelligenz 33 (2), 111-116, 2019
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