1st International Conference on Emerging Trends in Mechanical Sciences for Sustainable Technologies
An Exploration of The Recent Advancements in Drawing Robot Technology
Ganesh Kumar S, Ram Karthik C S and Amarnath A S, Department of Mechanical Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.
The purpose of this research review article is to explore the recent advancements in drawing robot technology. Drawing robots are automated systems that can create art through their movements. These robots are able to replicate intricate designs and patterns with a high degree of accuracy, and they can be programmed to generate art automatically. This article will explore the various types of drawing robots available, the various components and technologies that power these robots, and the advancements in this field that have been made in recent years. This article will first look at the different types of drawing robots available, such as industrial robots, 3D printing robots, and computer-controlled drawing robots. It will examine the various components that power these robots, such as motors, sensors, and software, as well as how these components are used to generate art. It will also discuss the various advancements that have been made in drawing robot technology in recent years, including improved accuracy, increased speed, and more efficient algorithms. The article will then look at the various applications of these robots, such as in art, manufacturing, and medical fields. It will explore the advantages and disadvantages of using drawing robots, and will consider the various ethical concerns that accompany the use of these robots. Finally, it will look at the potential future applications of drawing robot technology, such as in education and healthcare. This research review article provides an overview of the various aspects of drawing robot technology, including the various types, components, and advancements. It examines the various applications of these robots, the advantages and disadvantages of using them, and the ethical considerations associated with them. Finally, it looks at the potential future applications of drawing robot technology.
J. Murphy, U. Gretzel, and J. Pesonen, “Marketing robot services in hospitality and tourism: the role of anthropomorphism,” Journal of Travel & Tourism Marketing, vol. 36, no. 7, pp. 784–795, Feb. 2019, doi: 10.1080/10548408.2019.1571983.
S. Bankins and P. Formosa, “When AI meets PC: exploring the implications of workplace social robots and a human-robot psychological contract,” European Journal of Work and Organizational Psychology, vol. 29, no. 2, pp. 215–229, May 2019, doi: 10.1080/1359432x.2019.1620328.
E. A. Nabila, S. Santoso, Y. Muhtadi, and B. Tjahjono, “Artificial Intelligence Robots And Revolutionizing Society In Terms Of Technology, Innovation, Work And Power,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 3, no. 1, pp. 46–52, Nov. 2021, doi: 10.34306/itsdi.v3i1.526.
A. Srikaew, M. E. Cambron, S. Northrup, R. A. Peters II, M. Wilkes andK. Kawamura, “Humanoid drawing robot,” In IASTED international conference on robotics and manufacturing, July 1998.
R. Y. Putra et al., “Neural network implementation for invers kinematic model of arm drawing robot,” 2016 International Symposium on Electronics and Smart Devices (ISESD), Nov. 2016, doi: 10.1109/isesd.2016.7886710.
A. Hamori, J. Lengyel, and B. Resko, “3DOF drawing robot using LEGO-NXT,” 2011 15th IEEE International Conference on Intelligent Engineering Systems, Jun. 2011, doi: 10.1109/ines.2011.5954761.
P. Ljunglöf, S. Larsson, K. H. Mühlenbock andG. Thunberg, “TRIK: A talking and drawing robot for children with communication disabilities,” In Proceedings of the 17th Nordic Conference of Computational Linguistics (NODALIDA 2009), pp. 275-278, May 2009.
C.-F. Hsu, W.-H. Kao, W.-Y. Chen, and K.-Y. Wong, “Motion planning and control of a picture-based drawing robot system,” 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), Jun. 2017, doi: 10.1109/ifsa-scis.2017.8023232.
A. Mahamudul Hashan, A. Haidari, S. Saha, and T. Paul, “Computer Numerically Controlled Drawing Robot Based on Computer-Aided Design,” Journal of Mechanical, Civil and Industrial Engineering, vol. 2, no. 1, pp. 06–10, Apr. 2021, doi: 10.32996/jmcie.2021.2.1.2.
A. D. Ariccia, A. Bremers, J. Michalove, and W. Ju, “How to Make People Think You’re Thinking if You’re a Drawing Robot: Expressing Emotions Through the Motions of Writing,” 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar. 2022, doi: 10.1109/hri53351.2022.9889638.
A. Dell’Ariccia, A. W. D. Bremers, W.-Y. Lee, and W. Ju, “”Ah! he wants to win!”: Social responses to playing Tic-Tac-Toe against a physical drawing robot,” Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction, Feb. 2022, doi: 10.1145/3490149.3505571.
V. Menon, A. V, and G. G, “Picasso the Drawing Robot: An Application of Inverse Kinematics,” 2021 International Conference on Communication, Control and Information Sciences (ICCISc), Jun. 2021, doi: 10.1109/iccisc52257.2021.9484972.
M. Wnuk et al., “Challenges in Robotic Soft Tissue Manipulation—Problem Identification Based on an Interdisciplinary Case Study of a Teleoperated Drawing Robot in Practice,” Mechatronics and Machine Vision in Practice 4, pp. 245–262, Sep. 2020, doi: 10.1007/978-3-030-43703-9_20.
A. K. Singh and G. C. Nandi, “NAO humanoid robot: Analysis of calibration techniques for robot sketch drawing,” Robotics and Autonomous Systems, vol. 79, pp. 108–121, May 2016, doi: 10.1016/j.robot.2016.01.009.
A. Sullivan, A. Strawhacker, and M. U. Bers, “Dancing, Drawing, and Dramatic Robots: Integrating Robotics and the Arts to Teach Foundational STEAM Concepts to Young Children,” Robotics in STEM Education, pp. 231–260, 2017, doi: 10.1007/978-3-319-57786-9_10.
S. Dziemian, W. W. Abbott, and A. A. Faisal, “Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing,” 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Jun. 2016, doi: 10.1109/biorob.2016.7523807.
M. S. Sultan et al., “Hand-eye 3D pose estimation for a drawing robot,” 2013 IEEE International Conference on Mechatronics and Automation, Aug. 2013, doi: 10.1109/icma.2013.6618105.
J.-O. Kim and J. Kim, “Development of Science-Arts Integrative STEAM Program in Elementary School Using the Educational Robot,” International Journal of Computer Science and Information Technology for Education, vol. 1, no. 1, pp. 47–52, Dec. 2016, doi: 10.21742/ijcsite.2016.1.08.
C. Normoyle and R. Tegtmeyer, “Speculating the Possibilities for Remote Collaborative Design Research. The Experimentations of a Drawing Robot,” The Design Journal, vol. 20, no. sup1, pp. S4038–S4051, Jul. 2017, doi: 10.1080/14606925.2017.1352906.
L. Holloway, C. Bear, and K. Wilkinson, “Re-capturing bovine life: Robot–cow relationships, freedom and control in dairy farming,” Journal of Rural Studies, vol. 33, pp. 131–140, Jan. 2014, doi: 10.1016/j.jrurstud.2013.01.006.
A. T. Azar, H. H. Ammar, M. Y. Beb, S. R. Garces, and A. Boubakari, “Optimal Design of PID Controller for 2-DOF Drawing Robot Using Bat-Inspired Algorithm,” Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, pp. 175–186, Oct. 2019, doi: 10.1007/978-3-030-31129-2_17.
F. Liu, L. Cao, Z. Sun, and Z. Li, “Research on Drawing Robot Based on Image Edge Detection,” 2021 2nd International Conference on Control, Robotics and Intelligent System, Aug. 2021, doi: 10.1145/3483845.3483847.
J. Arruti, M. Ottavianelli, A. Solari, P. Monzon, P. Muse, and J. P. Oliver, “A drawing robot pipeline with artist-inspired execution,” 2021 IEEE URUCON, Nov. 2021, doi: 10.1109/urucon53396.2021.9647208.
S. Kana, S. Lakshminarayanan, D. M. Mohan, and D. Campolo, “Robot-sensor calibration for a 3D vision assisted drawing robot,” 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Nov. 2019, doi: 10.1109/cis-ram47153.2019.9095830.
M. Coeckelbergh, “Moral appearances: emotions, robots, and human morality,” Ethics and Information Technology, vol. 12, no. 3, pp. 235–241, Mar. 2010, doi: 10.1007/s10676-010-9221-y.
R. Burbaite, V. Stuikys, and R. Marcinkevicius, “The LEGO NXT Robot-based e-Learning Environment to Teach Computer Science Topics,” Electronics and Electrical Engineering, vol. 18, no. 9, Nov. 2012, doi: 10.5755/j01.eee.18.9.2825.
G. S, D. T, and A. Haldorai, “A Supervised Machine Learning Model for Tool Condition Monitoring in Smart Manufacturing,” Defence Science Journal, vol. 72, no. 5, pp. 712–720, Nov. 2022, doi: 10.14429/dsj.72.17533.
S. Ganeshkumar, B. K. Singh, R. Suresh Kumar, and A. Haldorai, “Digital Twin Framework for Lathe Tool Condition Monitoring in Machining of Aluminium 5052,” Defence Science Journal, vol. 73, no. 3, pp. 341–350, May 2023, doi: 10.14429/dsj.73.18650.
Cite this article
Ganesh Kumar S, Ram Karthik C S and Amarnath A S, “An Exploration of The Recent Advancements in Drawing Robot Technology”, Advances in Intelligent Systems and Technologies, pp. 010-018, August. 2023. doi:10.53759/aist/978-9914-9946-4-3_2
