Moritz Langer

Georg Simon Ohm University of Applied Sciences Nuremberg

Papers

Total Citations

H-Index

About

Moritz Langer is a leading researcher at the intersection of robotics and artificial intelligence, with a primary focus on human-robot interaction (HRI) and speech-based control systems. His most influential work, "Human-robot-interaction using cloud-based speech recognition systems" (2021), has garnered 66 citations, establishing a foundational framework for integrating advanced, cloud-based natural language processing into robotic platforms. Langer’s key contribution lies in demonstrating how modern machine learning-driven speech recognition can be effectively interfaced with lightweight robotic systems, enabling more intuitive and responsive voice control. This work bridges the gap between cutting-edge AI speech technologies and practical robotics, addressing critical challenges in real-time communication and system reliability. By leveraging cloud-based architectures, Langer has shown how robots can access powerful, continuously improving language models without requiring onboard computational resources, paving the way for more accessible and scalable HRI solutions. His research is particularly notable for its application-oriented approach, making complex speech technologies viable for everyday robotic assistants. Langer’s achievements have positioned him as a key figure in advancing natural, voice-driven interactions between humans and machines, with his citation record reflecting the growing importance of his contributions to the field.