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Manuel Mühlig
Manuel Mühlig
Principal Engineer, Honda Research Institute Europe GmbH
Verified email at muehlig.eu - Homepage
Title
Cited by
Cited by
Year
Task-level imitation learning using variance-based movement optimization
M Mühlig, M Gienger, S Hellbach, JJ Steil, C Goerick
2009 IEEE International Conference on Robotics and Automation (ICRA 2009 …, 2009
1412009
Interactive imitation learning of object movement skills
M Mühlig, M Gienger, JJ Steil
Autonomous Robots 32, 97-114, 2012
942012
Automatic selection of task spaces for imitation learning
M Mühlig, M Gienger, JJ Steil, C Goerick
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009
592009
Robot with automatic selection of task-specific representations for imitation learning
M Gienger, M Mühlig, J Steil, HRIE Gmbh
US Patent 8,571,714, 2013
552013
Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning
AL Vollmer, M Mühlig, JJ Steil, K Pitsch, J Fritsch, KJ Rohlfing, B Wrede
PloS one 9 (3), e91349, 2014
522014
Robot feedback shapes the tutor’s presentation: How a robot’s online gaze strategies lead to micro-adaptation of the human’s conduct
K Pitsch, AL Vollmer, M Mühlig
Interaction Studies 14 (2), 268-296, 2013
432013
Human-robot interaction for learning and adaptation of object movements
M Mühlig, M Gienger, JJ Steil
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
252010
Adaptive movement sequences and predictive decisions based on hierarchical dynamical systems
T Luksch, M Gienger, M Mühlig, T Yoshiike
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
232012
Multi-robot planning under uncertainty with congestion-aware models
C Street, B Lacerda, M Mühlig, N Hawes
Association for Computing Machinery, 2020
202020
Congestion-aware policy synthesis for multirobot systems
C Street, S Pütz, M Mühlig, N Hawes, B Lacerda
IEEE Transactions on Robotics 38 (1), 262-280, 2021
192021
Learning the consequences of actions: Representing effects as feature changes
M Rudolph, M Mühlig, M Gienger, HJ Böhme
2010 International Symposium on Learning and Adaptive Behavior in Robotic …, 2010
162010
Imitating object movement skills with robots—a task-level approach exploiting generalization and invariance
M Gienger, M Mühlig, JJ Steil
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
152010
Method for improving operation of a robot
M Mühlig, M Gienger, A Hayashi
US Patent 10,279,474, 2019
142019
A dynamical systems approach to adaptive sequencing of movement primitives
T Luksch, M Gienger, M Mühlig, T Yoshiike
ROBOTIK 2012; 7th German Conference on Robotics, 1-6, 2012
122012
Modeling and simulation of a multi-robot system architecture
AR Sadik, C Goerick, M Muehlig
2019 International Conference on Mechatronics, Robotics and Systems …, 2019
102019
Context-aware modelling for multi-robot systems under uncertainty
C Street, B Lacerda, M Staniaszek, M Mühlig, N Hawes
International Foundation for Autonomous Agents and Multiagent Systems, 2022
82022
Designing interaction for multi-agent cooperative system in an office environment
C Wang, S Hasler, M Mühlig, F Joublin, A Ceravola, J Deigmoeller, ...
Companion of the 2021 ACM/IEEE International Conference on Human-Robot …, 2021
42021
Task-dependent distribution and constrained optimization of via-points for smooth robot motions
CH Sung, M Mühlig, M Gienger, Y Uno
2015 IEEE International Conference on Robotics and Automation (ICRA), 3563-3569, 2015
42015
Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty
C Street, B Lacerda, M Mühlig, N Hawes
Journal of Artificial Intelligence Research 79, 137-171, 2024
32024
A Knowledge-based Multi-entity and Cooperative System Architecture
M Mühlig, L Fischer, S Hasler, J Deigmöller
2020 IEEE International Conference on Human-Machine Systems (ICHMS), 1-6, 2020
32020
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Articles 1–20