CoSculpt: An AI-Embedded Human-Robot Collaboration System for Sculptural Creation

Mingyuan Zhang, Zhaolin Cheng, Sheung Ting Ramona Shiu, Jiacheng Liang, Cong Fang, Zhengtao Ma, Stephen Jia Wang (Corresponding Author)

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationHuman Systems Engineering and Design (IHSED 2023): Future Trends and Applications
PublisherAHFE International
DOIs
Publication statusPublished - Aug 2023
EventHuman Systems Engineering and Design (IHSED 2023): Future Trends and Applications -
Duration: 27 Sept 202329 Sept 2023

Conference

ConferenceHuman Systems Engineering and Design (IHSED 2023): Future Trends and Applications
Period27/09/2329/09/23

Keywords

  • Human-robot Collaboration
  • Artificial Intelligence
  • Sculpture

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