Christoph von der Malsburg

About

Christoph von der Malsburg is a pioneering figure in neural computation and robotics, best known for his foundational work on dynamic link architectures and self-organizing neural networks. His research centers on biologically inspired computer vision, gesture recognition, and autonomous robotic systems. Among his major contributions is the development of the GripSee system—a gesture-controlled robot for object perception and manipulation—which demonstrated how robots could interpret human gestures in real time to perform complex tasks. His work on robotic gesture recognition, particularly through cue combination, has been cited over 60 times, while his studies on self-calibration of stereo camera heads advanced autonomous visual fixation. Von der Malsburg’s early vision for neural computers, outlined in his 1989 paper, anticipated key trends in neuromorphic engineering. His interdisciplinary approach, merging neuroscience with robotics, has influenced generations of researchers in human-robot interaction and adaptive perception. With a career spanning decades, von der Malsburg remains a seminal figure whose insights continue to shape the integration of learning and movement in autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic gesture recognition

   61 citations · 1998
2. 2
   GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation

   56 citations · 1999
3. 3
   Towards Imitation Learning of Grasping Movements by an Autonomous Robot

   19 citations · 1999
4. 4
   Self Calibration of the Fixation Movement of a Stereo Camera Head

   14 citations · 1998
5. 5
   Robotic Gesture Recognition by Cue Combination

   13 citations · 1998
6. 6
   Self Calibration of the Fixation Movement of a Stereo Camera Head

   10 citations · 1998
7. 7
   Goal and Architecture of Neural Computers

   6 citations · 1989

Key Collaborators

Contact & Links