Mingyuan Zhang, Z. Cheng, Sheung Ting Ramona Shiu, Jiacheng Liang, Cong Fang, Zhengtao Ma, Stephen Jia Wang
{"title":"cosculppt:一个嵌入人工智能的雕塑创作人机协作系统","authors":"Mingyuan Zhang, Z. Cheng, Sheung Ting Ramona Shiu, Jiacheng Liang, Cong Fang, Zhengtao Ma, Stephen Jia Wang","doi":"10.54941/ahfe1004115","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) and machine learning (ML) have witnessed\n significant advancements, leading to the emergence of AI-aided systems that\n assist in artwork creation. However, the current AI-powered creation support\n tools predominantly focus on generating 2D images, with limited assistance\n for 3D object creation, particularly in the field of sculpture.\n Additionally, as the automation capabilities of machines continue to grow,\n artists often struggle to maintain control over the creative process.\n Therefore, the collaboration between artists and AI in sculpturing remains\n unclear, along with the allocation of responsibilities to ensure the\n artist's controllability over the sculpture creation process.This study aims\n to address these gaps by developing CoSculpt, an AI-powered human-robot\n collaboration sculpturing system with three distinct modes. We explore how\n humans and AI-embedded robots can interact, delegate tasks, and assume\n control during various stages of the sculpture creation workflow. By\n utilizing this system, artists can effectively collaborate with AI\n technology, leveraging its capabilities while maintaining a significant\n degree of control over the sculpture creation process.The findings from this\n study shed light on the potential of human-AI collaboration in sculpturing\n and provide insights into how artists can effectively navigate the\n intersection of art and technology. The proposed AI-powered human-robot\n collaboration system offers a new paradigm for sculptural creation,\n fostering a harmonious synergy between human creativity and the technical\n capabilities of AI. Ultimately, this research contributes to the ongoing\n dialogue on the role of AI in the artistic domain and paves the way for\n future advancements in the field of sculpture.","PeriodicalId":231376,"journal":{"name":"Human Systems Engineering and Design (IHSED 2023): Future Trends\n and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CoSculpt: An AI-Embedded Human-Robot Collaboration System for Sculptural\\n Creation\",\"authors\":\"Mingyuan Zhang, Z. Cheng, Sheung Ting Ramona Shiu, Jiacheng Liang, Cong Fang, Zhengtao Ma, Stephen Jia Wang\",\"doi\":\"10.54941/ahfe1004115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) and machine learning (ML) have witnessed\\n significant advancements, leading to the emergence of AI-aided systems that\\n assist in artwork creation. However, the current AI-powered creation support\\n tools predominantly focus on generating 2D images, with limited assistance\\n for 3D object creation, particularly in the field of sculpture.\\n Additionally, as the automation capabilities of machines continue to grow,\\n artists often struggle to maintain control over the creative process.\\n Therefore, the collaboration between artists and AI in sculpturing remains\\n unclear, along with the allocation of responsibilities to ensure the\\n artist's controllability over the sculpture creation process.This study aims\\n to address these gaps by developing CoSculpt, an AI-powered human-robot\\n collaboration sculpturing system with three distinct modes. We explore how\\n humans and AI-embedded robots can interact, delegate tasks, and assume\\n control during various stages of the sculpture creation workflow. By\\n utilizing this system, artists can effectively collaborate with AI\\n technology, leveraging its capabilities while maintaining a significant\\n degree of control over the sculpture creation process.The findings from this\\n study shed light on the potential of human-AI collaboration in sculpturing\\n and provide insights into how artists can effectively navigate the\\n intersection of art and technology. The proposed AI-powered human-robot\\n collaboration system offers a new paradigm for sculptural creation,\\n fostering a harmonious synergy between human creativity and the technical\\n capabilities of AI. 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CoSculpt: An AI-Embedded Human-Robot Collaboration System for Sculptural
Creation
Artificial intelligence (AI) and machine learning (ML) have witnessed
significant advancements, leading to the emergence of AI-aided systems that
assist in artwork creation. However, the current AI-powered creation support
tools predominantly focus on generating 2D images, with limited assistance
for 3D object creation, particularly in the field of sculpture.
Additionally, as the automation capabilities of machines continue to grow,
artists often struggle to maintain control over the creative process.
Therefore, the collaboration between artists and AI in sculpturing remains
unclear, along with the allocation of responsibilities to ensure the
artist's controllability over the sculpture creation process.This study aims
to address these gaps by developing CoSculpt, an AI-powered human-robot
collaboration sculpturing system with three distinct modes. We explore how
humans and AI-embedded robots can interact, delegate tasks, and assume
control during various stages of the sculpture creation workflow. By
utilizing this system, artists can effectively collaborate with AI
technology, leveraging its capabilities while maintaining a significant
degree of control over the sculpture creation process.The findings from this
study shed light on the potential of human-AI collaboration in sculpturing
and provide insights into how artists can effectively navigate the
intersection of art and technology. The proposed AI-powered human-robot
collaboration system offers a new paradigm for sculptural creation,
fostering a harmonious synergy between human creativity and the technical
capabilities of AI. Ultimately, this research contributes to the ongoing
dialogue on the role of AI in the artistic domain and paves the way for
future advancements in the field of sculpture.