paper-with-me

Papers

HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation

2020-03-31 · Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu, Kevin Kuo, Tito Pradhono Tomo, Kanata Suzuki, Nelson Yalta, Kuo-Hao Shu, Tetsuya OGATA

Japanese character figurines are popular and have pivot position in Otaku culture. Although numerous robots have been developed, less have focused on otaku-culture or on embodying the anime character figurine. Therefore, we take the first steps to bridge this gap by developing Hatsuki, which is a humanoid robot platform with anime based design. Hatsuki's novelty lies in aesthetic design, 2D facial expressions, and anime-style behaviors that allows it to deliver rich interaction experiences resembling anime-characters. We explain our design implementation process of Hatsuki, followed by our evaluations. In order to explore user impressions and opinions towards Hatsuki, we conducted a questionnaire in the world's largest anime-figurine event. The results indicate that participants were generally very satisfied with Hatsuki's design, and proposed various use case scenarios and deployment contexts for Hatsuki. The second evaluation focused on imitation learning, as such method can provide better interaction ability in the real world and generate rich, context-adaptive behavior in different situations. We made Hatsuki learn 11 actions, combining voice, facial expressions and motions, through neuron network based policy model with our proposed interface. Results show our approach was successfully able to generate the actions through self-organized contexts, which shows the potential for generalizing our approach in further actions under different contexts. Lastly, we present our future research direction for Hatsuki, and provide our conclusion.

📄 PDF Abstract BibTeX arXiv:2003.14121

Code (0)

등록된 구현이 없습니다.

Tasks

Action GenerationCultural Vocal Bursts Intensity PredictionImitation Learning

Similar Papers 제목 키워드 기반

AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction

2025-04-01 · Junhao Cheng, Yuying Ge, Yixiao Ge, Jing Liao 외

Recent advancements in image and video synthesis have opened up new promise in generative games. One particularly intriguing application is transforming characters from anime films into interactive, playable entities. Th…

Image Generation

Skin Detection of Animation Characters

2015-03-21 · Kazi Tanvir Ahmed Siddiqui, Abu Wasif

The increasing popularity of animes makes it vulnerable to unwanted usages like copyright violations and pornography. That is why, we need to develop a method to detect and recognize animation characters. Skin detection …

ToonOut: Fine-tuned Background-Removal for Anime Characters

2025-09-08 · Matteo Muratori, Joël Seytre arxiv

While state-of-the-art background removal models excel at realistic imagery, they frequently underperform in specialized domains such as anime-style content, where complex features like hair and transparency present uniq…

Enhanced Anime Image Generation Using USE-CMHSA-GAN

2024-11-17 · J. Lu

With the growing popularity of ACG (Anime, Comics, and Games) culture, generating high-quality anime character images has become an important research topic. This paper introduces a novel Generative Adversarial Network m…

Generative Adversarial NetworkImage Generation

NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction

2024-05-21 · Hongsheng Wang, Nanjie Yao, Xinrui Zhou, Shengyu Zhang 외

In the animation industry, 3D modelers typically rely on front and back non-overlapped concept designs to guide the 3D modeling of anime characters. However, there is currently a lack of automated approaches for generati…

SSIM