Eric M. Orendt
Papers
10
Total Citations
106
H-Index
5
About
Eric M. Orendt’s research lies at the intersection of human-robot interaction, intuitive robot programming, and robust autonomous execution. His central contribution is the development of “One-Shot robot programming,” a paradigm that enables non-experts to program general-purpose robots with a single demonstration, dramatically lowering the barrier to entry for household and small-to-medium enterprise applications. To make such programs reliable in dynamic environments, Orendt introduced entity-based resource models that allow robots to detect and classify deviations during execution, enabling robust handling of unexpected events. His work on the ENACT framework further advanced modular robotics by providing an efficient, extensible software architecture for sharing information among functional modules. Orendt also pioneered augmented reality interfaces for robot operation, leveraging Google Tango technology to create intuitive, smart-device-based control systems. With over 100 citations across his most-cited papers, his research has shaped the discourse on balancing intuitiveness with robustness. Notably, his MINERIC toolkit provides standardized evaluation instruments for measuring these qualities, and his contributions to the handbook “Mensch-Roboter-Kollaboration” underscore his influence in German-language robotics education. Orendt’s work continues to pave the way for robots that are both accessible to everyday users and resilient in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 3Augmented Reality Robot Operation Interface with Google Tango11 citations · 2018
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- 9Sensor-Based Loops and Branches for Playback-Programmed Robot Systems3 citations · 2017
- 10Mensch-Roboter-Interaktion2 citations · 2019