Papers
5
Total Citations
94
H-Index
5
About
Hayato Ohba is a pioneering researcher in human-robot interaction (HRI), best known for advancing the field of multi-party communication between robots and groups of people. His landmark 2005 work, “Dynamic Communication of Humanoid Robot with Multiple People Based on Interaction Distance,” with 32 citations, was among the first to move beyond the one-robot–one-person paradigm, proposing a method for robots to dynamically adjust their behavior based on interaction distance when engaging with multiple individuals. This foundational research has been widely cited and extended in subsequent studies (17 and 13 citations). Ohba also made significant contributions to active sensing and object recognition through his work on extracting multi-modal dynamics of objects using Recurrent Neural Network with Parametric Bias (RNNPB), cited 25 and 7 times. In these studies, he demonstrated how robots like Robovie-IIs could exploit dynamic features—such as movement patterns—to recognize objects that share similar static appearances. By integrating social interaction dynamics with machine learning for perception, Ohba’s work has shaped modern approaches to autonomous robots that can navigate complex, real-world social environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Extracting multi-modal dynamics of objects using RNNPB25 citations · 2005
- 3
- 4Distance-Based Dynamic Interaction of Humanoid Robot with Multiple People13 citations · 2005
- 5Extracting Multimodal Dynamics of Objects Using RNNPB7 citations · 2005