Marco Ewerton

791 total citations
22 papers, 512 citations indexed

About

Marco Ewerton is a scholar working on Control and Systems Engineering, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Marco Ewerton has authored 22 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 6 papers in Social Psychology. Recurrent topics in Marco Ewerton's work include Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (7 papers) and Social Robot Interaction and HRI (5 papers). Marco Ewerton is often cited by papers focused on Robot Manipulation and Learning (19 papers), Reinforcement Learning in Robotics (7 papers) and Social Robot Interaction and HRI (5 papers). Marco Ewerton collaborates with scholars based in Germany, Switzerland and Japan. Marco Ewerton's co-authors include Jan Peters, Guilherme Maeda, Gerhard Neumann, Rudolf Lioutikov, Heni Ben Amor, Oliver Kroemer, Dorothea Koert, Masaki Takahashi, Josef Wiemeyer and David Vogt and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.

In The Last Decade

Marco Ewerton

20 papers receiving 496 citations

Peers

Countries citing papers authored by Marco Ewerton

Since Specialization

Citations

This map shows the geographic impact of Marco Ewerton'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 Marco Ewerton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Ewerton more than expected).

Fields of papers citing papers by Marco Ewerton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Ewerton. 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 Marco Ewerton. The network helps show where Marco Ewerton may publish in the future.

Co-authorship network of co-authors of Marco Ewerton

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ewerton. A scholar is included among the top collaborators of Marco Ewerton 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 Marco Ewerton. Marco Ewerton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network 2023 ·Marco Ewerton, Michael Villamizar, (unknown), Sylvain Calinon, Jean‐Marc Odobez	0
2	Assisted teleoperation in changing environments with a mixture of virtual guides 2022 ·Technischen Universität Darmstadt ·Marco Ewerton, (unknown), Jan Peters	0
3	An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning 2021 ·2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ·Marco Ewerton, (unknown), Jean‐Marc Odobez	4
4	Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives 2020 ·IEEE Robotics and Automation Letters ·(unknown), Masaki Takahashi, Marco Ewerton, Jan Peters	30
5	Learning Trajectory Distributions for Assisted Teleoperation and Path Planning 2019 ·Frontiers in Robotics and AI ·Marco Ewerton, (unknown), Guilherme Maeda, Dorothea Koert, (unknown), Masaki Takahashi, Jan Peters	11
6	Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning 2019 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Marco Ewerton, Guilherme Maeda, Dorothea Koert, (unknown), Masaki Takahashi, Jan Peters	8
7	Incremental Learning of an Open-Ended Collaborative Skill Library 2019 ·International Journal of Humanoid Robotics ·Dorothea Koert, (unknown), Marco Ewerton, Michael Lutter, Jan Peters	4
8	Online Learning of an Open-Ended Skill Library for Collaborative Tasks 2018 ·Technischen Universität Darmstadt ·Dorothea Koert, (unknown), Marco Ewerton, Michael Lutter, Jan Peters	11
9	Assisting Movement Training and Execution With Visual and Haptic Feedback 2018 ·Frontiers in Neurorobotics ·Marco Ewerton, (unknown), (unknown), (unknown), Josef Wiemeyer, Jan Peters, Guilherme Maeda	12
10	Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives 2017 ·Frontiers in Robotics and AI ·(unknown), Alexandros Paraschos, Marco Ewerton, Jan Peters, François Charpillet, Serena Ivaldi	14
11	Anticipative Interaction Primitives for Human-Robot Collaboration. 2016 ·National Conference on Artificial Intelligence ·Guilherme Maeda, (unknown), Marco Ewerton, Rudolf Lioutikov, Jan Peters	4
12	Incremental imitation learning of context-dependent motor skills 2016 ·Marco Ewerton, Guilherme Maeda, (unknown), Josef Wiemeyer, Jan Peters	14
13	Movement primitives with multiple phase parameters 2016 ·Lincoln Repository (University of Lincoln) ·Marco Ewerton, Guilherme Maeda, Gerhard Neumann, (unknown), (unknown), Josef Wiemeyer, Jan Peters	3
14	Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills 2016 ·IEEE Robotics and Automation Letters ·Guilherme Maeda, Marco Ewerton, Dorothea Koert, Jan Peters	17
15	Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks 2016 ·Autonomous Robots ·Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Oliver Kroemer, Jan Peters	139
16	Learning motor skills from partially observed movements executed at different speeds 2015 ·Lincoln Repository (University of Lincoln) ·Marco Ewerton, Guilherme Maeda, Jan Peters, Gerhard Neumann	13
17	Learning multiple collaborative tasks with a mixture of Interaction Primitives 2015 ·Lincoln Repository (University of Lincoln) ·Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Guilherme Maeda	64
18	Learning interaction for collaborative tasks with probabilistic movement primitives 2014 ·Lincoln Repository (University of Lincoln) ·Guilherme Maeda, Marco Ewerton, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Gerhard Neumann	64
19	Learning responsive robot behavior by imitation 2013 ·Heni Ben Amor, David Vogt, Marco Ewerton, Erik Berger, Bernhard Jung, Jan Peters	24
20	Point cloud completion using extrusions 2012 ·Oliver Kroemer, Heni Ben Amor, Marco Ewerton, Jan Peters	13

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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