Alexa Hauck
Papers
10
Total Citations
80
H-Index
5
About
Alexa Hauck is a robotics and computer vision researcher whose work bridges biological motor control and autonomous robotic systems. Active primarily through the late 1990s and early 2000s, she made significant contributions to two interconnected domains: visually guided robotic manipulation and hierarchical environment modeling for mobile robots. Her most influential work, cited 28 times, examined what human reach-to-grasp movements can teach robotics engineers, reflecting her sustained interest in biologically motivated approaches to hand-eye coordination. This thread runs throughout her research, from early investigations into anthropomorphic robotic grasping to developing computational models inspired by neuroscience findings on visually guided reaching. Her work on visual servoing — using continuous visual feedback to compensate for imprecise robot calibration — was particularly forward-looking, anticipating the field's growing reliance on real-time vision processing. Hauck also contributed meaningfully to mobile robotics through her hierarchical world modeling framework, enabling autonomous robots to localize themselves, explore environments, and identify objects using sensor-integrated internal representations. Her work on articulated 3D object recognition from monocular video further demonstrated her breadth across perception and control. With over 80 total citations across a focused body of work, Hauck's research remains a thoughtful early contribution to the still-evolving field of intelligent robotic perception and manipulation.
Research Focus
Key Achievements
Top Papers
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- 4A hierarchical world model with sensor- and task-specific features8 citations · 2002
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- 6Development of a visual space-mouse3 citations · 2003
- 7Towards an Anthropomorphic Robotical Hand-Eye Coordination3 citations · 1998
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- 9Hybrid Hand-Eye Coordination with a Single Stationary Camera2 citations · 1996
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