Andrey Morozov
Intelligent Machines (Sweden), University of Stuttgart, TU Dresden
Papers
13
Total Citations
158
H-Index
5
About
Andrey Morozov’s research bridges mechanical design and software dependability, with a focus on parallel robotics, model-based systems engineering, and safety-critical cyber-physical systems. His early landmark work introduced a novel Schönflies-motion generator (SMG) parallel robot, capable of SCARA-like motions with three translations and one rotation—a contribution that has garnered 87 citations and remains foundational in robotics kinematics. More recently, Morozov has pioneered error detection and risk assessment for industrial automation, developing LSTM-based anomaly detection, dual-graph error propagation models, and automated risk assessment frameworks for ROS-based software-defined robotic systems. His work on stochastic error propagation in Simulink models for space robotics (2016) and deep learning-based error mitigation for assistive exoskeletons (2021) demonstrates a sustained commitment to ensuring reliability in resource-constrained, safety-critical environments. With over 150 citations across his top papers, Morozov’s research directly addresses the growing complexity of mechatronic and autonomous systems, from collaborative robots to cyber-physical production systems. His recent work on dynamic risk assessment for human-robot collaboration (2025) continues this trajectory, aiming to make industrial robotics safer and more adaptive.
Research Focus
Key Achievements
Top Papers
- 1Kinetostatic Design of an Innovative Schönflies-Motion Generator87 citations · 2006
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- 3Dual Graph Error Propagation Model for Mechatronic System Analysis14 citations · 2011
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- 7Anomaly Detection for Cyber-Physical Systems Using Transformers4 citations · 2021
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