CoSculpt: An AI-Embedded Human-Robot Collaboration System for Sculptural Creation
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.
Keywords: Human-robot Collaboration, Artificial Intelligence, Sculpture
DOI: 10.54941/ahfe1004115
Cite this paper
More from this volume
- Customer-Centered Quality Function Deployment - A Framework for the Iterative Involvement of the Voice of the Customer and Derivation of Measurable Product Requirements in Innovation Design
- On-site-worker-centered design for work improvements
- The Effect of Micro-Breaks on Intellectual Concentration Work: An Individual's Characteristics Measurement
- Data mining with Behaviour and Context-Based Optimal Navigation (BeaCON) for Optimal Navigation
- User-Centred Design of a Patient App for Carotid Artery Monitoring at Home
- Adaptability as a multi-scale strategy for the regeneration of the built environment through circular economy perspective
- Predicting comprehensibility of healthcare signs using drawings from participants: A pilot study of sign evaluation
- DJaytopia: a hybrid intelligent DJ co-remixing system
- Designing A Rehabilitation-Purposed No-Direct-Contact Collaborative Robotic System For Stroke Patients
- Design and Development of an Electric Power-assisted Quadricycle for Female Day-trippers Visiting the Shonan Area
- Human-Centered Design for a Virtual Human led mHealth Intervention for Suicide Prevention
- Color matching research of electronic maps based on deep cognitive judgment


AHFE Open Access