Manuel Mühlig

403 total citations
19 papers, 274 citations indexed

About

Manuel Mühlig is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Manuel Mühlig has authored 19 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Manuel Mühlig's work include Robot Manipulation and Learning (12 papers), Reinforcement Learning in Robotics (7 papers) and Robotic Locomotion and Control (5 papers). Manuel Mühlig is often cited by papers focused on Robot Manipulation and Learning (12 papers), Reinforcement Learning in Robotics (7 papers) and Robotic Locomotion and Control (5 papers). Manuel Mühlig collaborates with scholars based in Germany, United Kingdom and Japan. Manuel Mühlig's co-authors include Michael Gienger, Jochen J. Steil, Christian Goerick, Karola Pitsch, Anna-Lisa Vollmer, Nick Hawes, Bruno Lacerda, Takahide Yoshiike, Tobias Luksch and Britta Wrede and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Robotics and Autonomous Robots.

In The Last Decade

Manuel Mühlig

17 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Manuel Mühlig Germany	10	191	123	78	57	44	19	274
Michael Pardowitz Germany	9	235 1.2×	144 1.2×	79 1.0×	67 1.2×	34 0.8×	20	312
Damir Omrčen Slovenia	8	185 1.0×	82 0.7×	118 1.5×	89 1.6×	22 0.5×	14	289
Daniel H. Grollman United States	10	284 1.5×	277 2.3×	63 0.8×	50 0.9×	37 0.8×	19	419
Ingo Kresse Germany	7	149 0.8×	93 0.8×	96 1.2×	41 0.7×	40 0.9×	7	245
Mila Popović Denmark	8	235 1.2×	79 0.6×	107 1.4×	94 1.6×	16 0.4×	13	313
Mirko Wächter Germany	13	246 1.3×	112 0.9×	129 1.7×	115 2.0×	59 1.3×	22	384
Çetin Meriçli United States	9	92 0.5×	88 0.7×	120 1.5×	27 0.5×	26 0.6×	25	255
Andrea Bajcsy United States	9	122 0.6×	115 0.9×	60 0.8×	27 0.5×	52 1.2×	19	298
Agnes Swadzba Germany	7	79 0.4×	52 0.4×	65 0.8×	30 0.5×	56 1.3×	16	211
R. Zöllner Germany	10	260 1.4×	107 0.9×	124 1.6×	74 1.3×	52 1.2×	17	350

Countries citing papers authored by Manuel Mühlig

Since Specialization

Citations

This map shows the geographic impact of Manuel Mühlig's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Manuel Mühlig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Mühlig more than expected).

Fields of papers citing papers by Manuel Mühlig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Mühlig. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manuel Mühlig. The network helps show where Manuel Mühlig may publish in the future.

Co-authorship network of co-authors of Manuel Mühlig

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Mühlig. A scholar is included among the top collaborators of Manuel Mühlig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel Mühlig. Manuel Mühlig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Lacerda, Bruno, et al.. (2024). Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty. Journal of Artificial Intelligence Research. 79. 137–171. 2 indexed citations

Mühlig, Manuel, et al.. (2021). Congestion-Aware Policy Synthesis for Multirobot Systems. IEEE Transactions on Robotics. 38(1). 262–280. 14 indexed citations

Wang, Chao, et al.. (2021). Designing Interaction for Multi-agent Cooperative System in an Office Environment. 668–669.

Lacerda, Bruno, et al.. (2020). Multi-Robot Planning Under Uncertainty with Congestion-Aware Models. Oxford University Research Archive (ORA) (University of Oxford). 1314–1322. 9 indexed citations

Wang, Chao, et al.. (2020). Designing Interaction for Multi-agent System in an Office Environment. 86–88. 1 indexed citations

Fuchs, Stefan, et al.. (2019). SmartLobby: A 24/7 Human-Machine-Interaction Space within an Office Environment.. 111–123.

Mühlig, Manuel, et al.. (2015). Task-dependent distribution and constrained optimization of via-points for smooth robot motions. 5. 3563–3569. 1 indexed citations

Vollmer, Anna-Lisa, Manuel Mühlig, Jochen J. Steil, et al.. (2014). Robots Show Us How to Teach Them: Feedback from Robots Shapes Tutoring Behavior during Action Learning. PLoS ONE. 9(3). e91349–e91349. 29 indexed citations

Mühlig, Manuel, et al.. (2014). Receding horizon optimization of robot motions generated by hierarchical movement primitives. 129–135. 2 indexed citations

10.

Pitsch, Karola, Anna-Lisa Vollmer, & Manuel Mühlig. (2013). Robot feedback shapes the tutor’s presentation. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 14(2). 268–296. 23 indexed citations

11.

Luksch, Tobias, Michael Gienger, Manuel Mühlig, & Takahide Yoshiike. (2012). A Dynamical Systems Approach to Adaptive Sequencing of Movement Primitives. 1–6. 5 indexed citations

12.

Luksch, Tobias, Michael Gienger, Manuel Mühlig, & Takahide Yoshiike. (2012). Adaptive movement sequences and predictive decisions based on hierarchical dynamical systems. 2082–2088. 13 indexed citations

13.

Mühlig, Manuel, Michael Gienger, & Jochen J. Steil. (2011). Interactive imitation learning of object movement skills. Autonomous Robots. 32(2). 97–114. 48 indexed citations

14.

Mühlig, Manuel, et al.. (2011). “Bring it to me” - generation of behavior-relevant scene elements for interactive robot scenarios. 2. 3415–3422. 2 indexed citations

15.

Mühlig, Manuel, Michael Gienger, & Jochen J. Steil. (2010). Human-robot interaction for learning and adaptation of object movements. 7. 4901–4907. 15 indexed citations

16.

Gienger, Michael, Manuel Mühlig, & Jochen J. Steil. (2010). Imitating object movement skills with robots — A task-level approach exploiting generalization and invariance. 2. 1262–1269. 10 indexed citations

17.

Mühlig, Manuel, et al.. (2010). Learning the Consequences of Actions: Representing Effects as Feature Changes. 124–129. 8 indexed citations

18.

Mühlig, Manuel, et al.. (2009). Task-level imitation learning using variance-based movement optimization. 1177–1184. 58 indexed citations

19.

Mühlig, Manuel, Michael Gienger, Jochen J. Steil, & Christian Goerick. (2009). Automatic selection of task spaces for imitation learning. 4996–5002. 34 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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