معرفی
Daniel Nyga is a postdoctoral researcher at the Institute for Artificial Intelligence (IAI), University of Bremen. He holds a PhD in computational science (summa cum laude) from the University of Bremen (2017), a master's (2014) and bachelor's (2012) in computer science from the Technical University of Munich (TUM) with a focus on AI and Machine Learning.
- Visited Bio-intelligence Laboratory (Prof. Byoung-Tak Zhang), Seoul National University (2014)
- Visited Robust Robotics Group (Prof. Nicholas Roy), MIT CSAIL (2014)
- Lead developer of open-source projects: pracmln, PRAC, and pyrap
- Recipient of Best Service Robotics Paper Award (ICRA 2015)
His research focuses on probabilistic knowledge representation and reasoning for natural language interpretation in robotics, including:
- Markov logic networks for ambiguous instruction resolution
- Semantic analogical reasoning for task completion
- Statistical relational learning for web-enabled knowledge acquisition
- Probabilistic modeling of symbolic concepts
- Cloud-based knowledge services for robotic systems
Notable publications span ICRA, IROS, ISRR, and Arxiv, with recent work on joint probability trees (2023). He has supervised multiple theses on probabilistic models for robot manipulation and instruction understanding.
۰مقاله منتشرشده
