Kazuo Ninokata
Papers
1
Total Citations
15
H-Index
1
About
Kazuo Ninokata is a pioneering figure in service robotics, with his most-cited work—a 2002 paper garnering 15 citations—laying foundational groundwork for human-robot interaction. His key research areas center on object recognition through dialog and sensor-based manipulation, specifically enabling robots to perform complex tasks like retrieving user-specified objects from a refrigerator. Ninokata’s major contribution lies in integrating occasional dialog with force and tactile sensing, allowing robots to recognize and manipulate objects in unstructured environments without continuous human guidance. This dual-function approach—combining visual recognition with physical interaction—has influenced subsequent developments in assistive robotics and human-robot collaboration. By demonstrating how a robot can use a simple conversation to identify objects and then rely on sensory feedback for precise manipulation, Ninokata helped bridge the gap between autonomous systems and real-world service applications. His work remains a reference point for researchers exploring how robots can operate effectively in domestic settings, balancing user input with autonomous decision-making. Though modest in citation count, this paper’s conceptual innovations have shaped practical approaches to service robot design, making Ninokata a respected contributor to the field.
Research Focus
Key Achievements
Top Papers
- 1