Alois Knoll
Technical University of Munich, Embedded Systems (United States), Centre for Artificial Intelligence and Robotics, Bielefeld University, Max Planck Computing and Data Facility, Munich University of Applied Sciences, X-Fab (Germany), Technische Universität Berlin, Fortiss, Chongqing University, Örebro University, Robotics Research (United States), Information Technology University, Klinikum rechts der Isar, Fraunhofer Institute for Intelligent Analysis and Information Systems
Papers
373
Total Citations
8,879
H-Index
49
About
Alois Knoll is a distinguished researcher whose work spans robotics, artificial intelligence, computer vision, and neuroscience-inspired computing. Based at the Technical University of Munich, Knoll has made transformative contributions to the fields of human-robot interaction, surgical robotics, and learning-based control systems. Knoll's early influential work on human-robot interaction in handing-over tasks (211 citations) laid important groundwork for intuitive physical collaboration between humans and machines. His pioneering research on robotic heart surgery—developing systems that learn suture knot-tying via recurrent neural networks (194 citations)—demonstrated the profound potential of machine learning in life-critical medical applications. His contributions to small object detection (330 citations) and safe reinforcement learning (194 citations) reflect his broad engagement with cutting-edge deep learning challenges. Particularly notable is Knoll's involvement in the landmark Human Brain Project (163 citations) and the Neurorobotics Platform (117 citations), where he helped bridge computational neuroscience and physical robotics. His survey on spiking neural networks for robotics control (180 citations) further underscores his commitment to biologically inspired AI. Collectively, his publications—spanning over 1,800 combined citations in these works alone—reflect a researcher whose vision consistently connects fundamental science with real-world intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human-robot interaction in handing-over tasks211 citations · 2008
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- 5A Review of Safe Reinforcement Learning: Methods, Theories, and Applications194 citations · 2024
- 6A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks180 citations · 2018
- 7Introducing the Human Brain Project163 citations · 2011
- 8Artificial Cognition in Production Systems127 citations · 2010
- 9Safe multi-agent reinforcement learning for multi-robot control120 citations · 2023
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