Markus Ikeda
Papers
19
Total Citations
200
H-Index
7
About
Markus Ikeda is a prominent researcher specializing in human-robot collaboration (HRC), robot programming methodologies, and intelligent manufacturing systems within Industry 4.0 environments. His work sits at the intersection of industrial robotics, machine learning, and human-centered design, addressing one of modern manufacturing's most pressing challenges: making robots genuinely accessible and collaborative in real-world production settings. Ikeda's most influential contribution, "First Application of Robot Teaching in an Existing Industry 4.0 Environment" (2016, 55 citations), established critical empirical groundwork for understanding usability and acceptance of collaborative robots through the AssistMe project. Building on this, his work on shared autonomy (2017, 40 citations) helped bridge the gap between academic theory and industrial application for fenceless robot deployments. His research consistently pushes toward reducing programming complexity, exploring reinforcement learning, Programming by Demonstration, and skill-based approaches to empower non-expert operators. More recently, Ikeda has expanded into neural implicit representations for 3D surface processing and virtual reality-based evaluation of HRI modalities, demonstrating a forward-looking research trajectory. With over 170 cumulative citations, his body of work has meaningfully shaped how researchers and engineers think about flexible, safe, and intuitive human-robot cooperation in contemporary manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Towards Shared Autonomy for Robotic Tasks in Manufacturing40 citations · 2017
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- 6Programming-Free Approaches for Human–Robot Collaboration in Assembly Tasks10 citations · 2021
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- 9FlexRoP – flexible, assistive robots for customized production5 citations · 2018
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