Papers
7
Total Citations
203
H-Index
6
About
Henrik Jacobsson is a pioneering researcher in cognitive robotics, whose work bridges artificial intelligence, sensorimotor integration, and human-robot interaction. His key contributions lie in developing integrated architectures that enable robots to combine multiple cognitive functions—such as perception, dialogue, and learning—into cohesive, situated systems. His most cited paper, "Towards an integrated robot with multiple cognitive functions" (2007, 59 citations), introduces mechanisms for fusing heterogeneous components, allowing a robot to collaborate with humans and exhibit contextual understanding. Jacobsson also advanced crossmodal content binding (2008, 43 citations), solving how robots merge sensory data from different modalities to form unified environmental representations. His work on situated dialogue processing (2010, 47 citations) further enhanced natural human-robot communication. Notably, his early research on event extraction for delayed response tasks (2001, 18 citations) addressed the "road sign problem," enabling mobile robots to learn from temporally separated stimuli. With over 200 total citations, Jacobsson’s contributions to architectural schemas, abstraction algorithms (e.g., CrySSMEx for neural systems), and sensorimotor imagination have shaped foundational approaches in cognitive robotics, inspiring new generations of researchers to build more intelligent, context-aware machines.
Research Focus
Key Achievements
Top Papers
- 1Towards an integrated robot with multiple cognitive functions59 citations · 2007
- 2Situated Dialogue Processing for Human-Robot Interaction47 citations · 2010
- 3Crossmodal content binding in information-processing architectures43 citations · 2008
- 4Imagination and Abstraction of Sensorimotor Flow : Towards a Robot Model20 citations · 2005
- 5
- 6Architecture and Representations14 citations · 2010
- 7