66 citations · 121 across the 13 of their papers we have counts for
13 papers
DeicticVLA: Unifying Instruction Modes Based on Language and Deictic Gestures in a Single VLA
Kango Yanagida, Tatsuya Aoki, Yuichiro Yoshikawa +1
Vision-Language-Action models (VLAs) allow users to specify manipulation tasks in natural language, but distinguishing a target or placement goal among objects of the same category…
The First MPDD Challenge: Multimodal Personality-aware Depression Detection
Changzeng Fu, Zelin Fu, Qi Zhang +14
Depression is a widespread mental health issue affecting diverse age groups, with notable prevalence among college students and the elderly. However, existing datasets and detectio…
Hypothesis on the Functional Advantages of the Selection-Broadcast Cycle Structure: Global Workspace Theory and Dealing with a Real-Time World
Junya Nakanishi, Jun Baba, Yuichiro Yoshikawa +2
This paper discusses the functional advantages of the Selection-Broadcast Cycle structure proposed by Global Workspace Theory (GWT), inspired by human consciousness, particularly f…
Influence of collaborative customer service by service robots and clerks in bakery stores
Yuki Okafuji, Sichao Song, Jun Baba +2
In recent years, various service robots have been introduced in stores as recommendation systems. Previous studies attempted to increase the influence of these robots by improving…
Service Robots in a Bakery Shop: A Field Study
Sichao Song, Baba Jun, Junya Nakanishi +2
In this paper, we report on a field study in which we employed two service robots in a bakery store as a sales promotion. Previous studies have explored public applications of serv…
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
Zhaojie Luo, Shoufeng Lin, Rui Liu +3
Emotional voice conversion (VC) aims to convert a neutral voice to an emotional (e.g. happy) one while retaining the linguistic information and speaker identity. We note that the d…
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition
Shuyun Tang, Zhaojie Luo, Guoshun Nan +2
Automatic emotion recognition (AER) based on enriched multimodal inputs, including text, speech, and visual clues, is crucial in the development of emotionally intelligent machines…
Behavioral assessment of a humanoid robot when attracting pedestrians in a mall
Yuki Okafuji, Yasunori Ozaki, Jun Baba +4
Research currently being conducted on the use of robots as human labor support technology. In particular, the service industry needs to allocate more manpower, and it will be impor…
3D Head-Position Prediction in First-Person View by Considering Head Pose for Human-Robot Eye Contact
Yuki Tamaru, Yasunori Ozaki, Yuki Okafuji +3
For a humanoid robot to make eye contact and initiate communication with a person, it is necessary to estimate the person's head position. However, eye contact becomes difficult du…
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi +2
Text categorization is the task of assigning labels to documents written in a natural language, and it has numerous real-world applications including sentiment analysis as well as…
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world
Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa +1
For a natural social human-robot interaction, it is essential for a robot to learn the human-like social skills. However, learning such skills is notoriously hard due to the limite…
Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network
Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa +1
For a safe, natural and effective human-robot social interaction, it is essential to develop a system that allows a robot to demonstrate the perceivable responsive behaviors to com…
Robot gains Social Intelligence through Multimodal Deep Reinforcement Learning
Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa +1
For robots to coexist with humans in a social world like ours, it is crucial that they possess human-like social interaction skills. Programming a robot to possess such skills is a…