Papers
7
Total Citations
160
H-Index
5
About
Kristian Kroschel is a leading figure in the development of intelligent, perceptive humanoid robots, with his research bridging robust speech processing and multimodal scene analysis. His foundational work is captured in the book *Robust Speech Recognition and Understanding* (2007, 98 citations), which remains a key resource for tackling noise and variability in automatic speech recognition. Kroschel’s major contributions lie in creating integrated, knowledge-driven systems that allow robots to perceive and interact with their environment using both visual and acoustic cues. He pioneered multimodal saliency-based attention mechanisms, enabling robots to efficiently prioritize the most relevant stimuli in complex scenes—a concept he explored in papers like "Multimodal saliency-based attention for object-based scene analysis" (2011, 34 citations) and its extension, "A lazy robot's approach" (2012, 10 citations). His work on opto-acoustic scene analysis and combined visual-acoustic grasping directly addresses the challenge of robots performing real-world tasks, such as locating and grasping fallen objects. By fusing auditory and visual perception with object-oriented world modeling, Kroschel has advanced the field of human-robot interaction, creating more autonomous and socially capable robotic partners.
Research Focus
Key Achievements
Top Papers
- 1Robust Speech Recognition and Understanding98 citations · 2007
- 2Multimodal saliency-based attention for object-based scene analysis34 citations · 2011
- 3Multimodal saliency-based attention: A lazy robot's approach10 citations · 2012
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- 5Combined Visual-Acoustic Grasping for Humanoid Robots5 citations · 2006
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- 7