Autonomous Object Model Acquisition with a Robotic Arm

Victoria Colthurst, Kazuki Shin, Joohyung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an autonomous object registration pipeline deployed on a self-contained camera and robotic arm hardware system that produces 3D object point clouds. Experimentation evaluates the quantitative and qualitative aspects of the produced point clouds, and we show that our methods produce representations comparable with state-of-the-art methods. It is our hope that the solution presented in this paper will aid in perception-based tasks that require identifying and interacting with objects in an unstructured environment.

Original languageEnglish (US)
Title of host publication2023 20th International Conference on Ubiquitous Robots, UR 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages609-615
Number of pages7
ISBN (Electronic)9798350335170
DOIs
StatePublished - 2023
Event20th International Conference on Ubiquitous Robots, UR 2023 - Honolulu, United States
Duration: Jun 25 2023Jun 28 2023

Publication series

Name2023 20th International Conference on Ubiquitous Robots, UR 2023

Conference

Conference20th International Conference on Ubiquitous Robots, UR 2023
Country/TerritoryUnited States
CityHonolulu
Period6/25/236/28/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Modeling and Simulation

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