Hubert Gattringer
Papers
79
Total Citations
892
H-Index
16
About
Hubert Gattringer is a prominent robotics and automation researcher whose work spans time-optimal trajectory planning, kinematic control, rehabilitation robotics, and multibody system dynamics. His most influential contributions focus on bridging the gap between theoretical optimal motion planning and practical industrial implementation — a challenge he addresses head-on in his highly cited 2018 paper on higher-order inverse kinematics methods for kinematically redundant manipulators (135 citations), which remains a landmark reference in the field. Gattringer has made significant advances in time-optimal path tracking for industrial robots, developing successive dynamic programming and spline optimization techniques that account for real-world kinematic and dynamic constraints. His research extends into cooperative robotic grasping, robot calibration using hybrid model-neural network approaches, and flexible robot state estimation. Notably, his 2018 work on EMG-based gait phase classification (57 citations) demonstrates a compelling crossover into rehabilitation robotics and wearable assistive systems. As co-editor of the influential volume *Multibody System Dynamics, Robotics and Control* (2013), Gattringer has also shaped broader discourse in the field. With over 450 cumulative citations across his key works, his research consistently advances both the theoretical foundations and practical deployment of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5A persistent method for parameter identification of a seven-axes manipulator34 citations · 2014
- 6Multibody System Dynamics, Robotics and Control34 citations · 2013
- 7Time Optimal Motion Planning and Admittance Control for Cooperative Grasping34 citations · 2020
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