Daniel Bermuth

Daniel Bermuth is a Researcher at the Chair of Software Engineering within the Institute for Software & Systems Engineering at the University of Augsburg. His work focuses on the intersection of Machine Learning and Collaborative Robotics, with a particular emphasis on Software-driven Robotics and Automation.

Education

• Master in Computer Science (2017-2020), University of Augsburg
• Bachelor in Computer Science (2014-2017), University of Augsburg

Research Interests

• Development of AI-based safety mechanisms for human-robot collaboration
• Real-time human pose estimation using RGBD imaging and voxel fusion techniques
• Efficient spoken language understanding architectures via n-grams, tries, and finite state transducers
• Privacy-aware voice assistants operating in offline environments
• Fast speech-to-text models for multilingual applications

Publications demonstrate expertise in Robotics, Artificial Intelligence, Computer Vision, and Natural Language Processing. Key subfields include Human-Robot Interaction, 3D Pose Estimation, Speech Recognition, Privacy-preserving AI, Efficient Parsing Algorithms, and Multilingual Language Models.

Laboratory

• Works within the Institute for Software & Systems Engineering under Prof. Dr. Wolfgang Reif
• Active in developing software solutions for robotics and speech processing