PICaSo: A Collaborative Robotics System for Inpainting on Physical Canvas using Marker and Eraser

Robotics collaborative drawing involves the inter-action between humans and robots to create of visual art using a variety of tools and materials, serving various functions such as communication, narration, and emotional representation. A creative technique within the human natural drawing process is known as inpainting, which involves reconstructing or editing elements in a drawing. This paper introduces PICaSo (Physical Inpainting on Canvas Solution), a robotic drawing system that enables multiple users to collaboratively create artwork on a canvas by integrating the inpainting process. PICaSo utilizes a fine-tuned text-to-image model to interpret natural language prompts into artistic renderings on canvas. Users guide the process by simple descriptive text and specifying desired drawing placement, empowering the robotic arm to autonomously translate these instructions into physical artworks. Our system’s innovation lies in its effective translation of digital inpainting processes into physical actions. By leveraging our erasing capability that enables selective removal of specific parts on the canvas without impacting neighboring areas, facilitating the creation of sequential drawings. This paper comprehensively outlines the capabilities of the proposed system, explores potential applications across various domains, and addresses technical challenges encountered during its development. Project website: shadynasrat.github.io/PICaSo

Authors

Institutions

Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10801850
Citations
1
Primary Topic
3D Shape Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PICaSo: A Collaborative Robotics System for Inpainting on Physical Canvas using Marker and Eraser

Jae-Bong Yi, Minseong Jo, Seung‐Joon Yi, Shady Nasrat
1 citations
3D Shape Modeling and Analysis
0.37
article

PICaSo: A Collaborative Robotics System for Inpainting on Physical Canvas using Marker and Eraser

Jae-Bong Yi, Minseong Jo, Seung‐Joon Yi, Shady Nasrat
article en
1 citations

Abstract

Robotics collaborative drawing involves the inter-action between humans and robots to create of visual art using a variety of tools and materials, serving various functions such as communication, narration, and emotional representation. A creative technique within the human natural drawing process is known as inpainting, which involves reconstructing or editing elements in a drawing. This paper introduces PICaSo (Physical Inpainting on Canvas Solution), a robotic drawing system that enables multiple users to collaboratively create artwork on a canvas by integrating the inpainting process. PICaSo utilizes a fine-tuned text-to-image model to interpret natural language prompts into artistic renderings on canvas. Users guide the process by simple descriptive text and specifying desired drawing placement, empowering the robotic arm to autonomously translate these instructions into physical artworks. Our system’s innovation lies in its effective translation of digital inpainting processes into physical actions. By leveraging our erasing capability that enables selective removal of specific parts on the canvas without impacting neighboring areas, facilitating the creation of sequential drawings. This paper comprehensively outlines the capabilities of the proposed system, explores potential applications across various domains, and addresses technical challenges encountered during its development. Project website: shadynasrat.github.io/PICaSo

Pusan National University (KR)
Korea Institute for Advancement of Technology, Korean National Police Agency
Openalex Percentile: Top 40%
3D Shape Modeling and Analysis
0.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PICaSo: A Collaborative Robotics System for Inpainting on Physical Canvas using Marker and Eraser — Jae-Bong Yi, Minseong Jo, et al. · (2024) | TGRS Research Map | TGRS