Sebastian Blankemeyer
Papers
8
Total Citations
187
H-Index
6
About
Sebastian Blankemeyer is a leading researcher in human-robot collaboration (HRC) and intuitive robot programming, with a focus on making industrial automation more accessible and adaptable. His work addresses the pressing need for flexible production systems in the face of increasing product variety and shorter life cycles. Blankemeyer’s major contributions include pioneering the use of augmented reality (AR) for robot programming, as demonstrated in his highly cited 2018 paper (78 citations), which allows operators to program robots without specialized coding skills. He has also developed task scheduling methods for HRC workplaces (62 citations) that optimize robot capabilities and execution times, and proposed a method to identify suitable workplaces for collaboration (16 citations). His research extends to soft robotics, with the design of the "SpineMan" manipulator (12 citations) for safer human-robot interaction, and a hand-interaction model for AR-enhanced collaboration (8 citations). Blankemeyer’s work has been recognized in key handbooks and publications, highlighting his role in shaping the future of safe, efficient, and user-friendly robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Intuitive Robot Programming Using Augmented Reality78 citations · 2018
- 2
- 3A Method to Distinguish Potential Workplaces for Human-Robot Collaboration16 citations · 2018
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- 6Opportunities and Challenges for the Design of Inherently Safe Robots7 citations · 2015
- 7Hardwareseitige MRK-Systemgestaltung2 citations · 2019
- 8Gesture-Based Robot Programming Using Microsoft Kinect2 citations · 2018