J.L. Buessler

About

J.L. Buessler is a robotics and computational neuroscience researcher whose work sits at the intersection of neural network theory and practical robotic control. His research has focused primarily on visual servoing — the use of camera-based visual feedback to guide robotic arm movements — and the development of modular neural architectures inspired by neurobiological principles. A defining feature of his contributions is the application of self-organizing maps (SOMs) and cooperative neural network structures to solve complex sensorimotor coordination problems without requiring prior knowledge of robot kinematics or camera calibration, making his approaches highly adaptable and practically deployable. Buessler's most influential work, "Multiple self-organizing maps to facilitate the learning of visuo-motor correlations" (2003, 15 citations), demonstrates how chained SOM architectures can effectively capture motor-sensory relationships in three-dimensional robotic platforms. His broader body of work, accumulated largely between 1998 and 2005, explores parallel neural processing, modular neurocontrollers, and neurobiologically motivated design principles, with total citations across his top publications exceeding 60. His research offers valuable insights for students and engineers working on adaptive robotic systems, particularly those seeking biologically plausible, learning-based alternatives to traditional geometric control methods.

Research Focus

Key Achievements

Top Papers

1. 1
   Multiple self-organizing maps to facilitate the learning of visuo-motor correlations

   15 citations · 2003
2. 2
   Neural approach to visual servoing for robotic hand eye coordination

   14 citations · 2002
3. 3
   Neural Networks for Visual Servoing in Robotics

   8 citations · 1998
4. 4
   Parallel neural processing for the visual servoing of a robot arm

   6 citations · 2002
5. 5
   Modular Neural Architectures for Robotics

   5 citations · 2003
6. 6
   NeuroModule-based visual servoing of a robot arm with a 2 d.o.f. camera

   5 citations · 2002
7. 7
   Color histogram footprint technique for visual object tracking

   3 citations · 2005
8. 8
   Modular neurocontrollers for reaching movements

   3 citations · 2002
9. 9
   Cooperation of neural networks applied to a robotic hand-eye coordination task

   3 citations · 2002
10. 10
    Neurobiology suggests the design of modular architectures for neural control

    3 citations · 2002

Key Collaborators

Contact & Links