Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 13 | 05 | Page : –
    By

    Sunny Nanade,

  • Eesh Gharat,

  • Archana Lakhe,

  • Rushabh Shah,

  1. Assistant Professor, Department of Mechatronics Engineering, Mukesh Patel School of Technology Management & Engineering, SVKM& NMIMS, Mumbai, Maharashtra, India
  2. Student, Department of Cyber Security Engineering, Mukesh Patel School of Technology Management & Engineering, SVKM & NMIMS, Mumbai, Maharashtra, India
  3. Assistant Professor, Department of Data Science Engineering, Mukesh Patel School of Technology Management & Engineering, SVKM&NMIMS, Mumbai, Maharashtra, India
  4. Student, Department of Computer Engineering, Mukesh Patel School of Technology Management & Engineering, SVKM& NMIMS, Mumbai, Maharashtra, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_196321’);});Edit Abstract & Keyword

Gesture-driven robotic systems are becoming increasingly relevant in applications such as assistive technology, industrial automation, and interactive systems. The choice of chassis material plays a crucial role in determining the robot’s mechanical strength, weight, and ease of fabrication. This study systematically evaluates three chassis materials—iron, acrylic, and 3D printed polymers—to determine their suitability for gesture-controlled robots. A standardized robotic configuration, including two rear motors, two front dummy axles, an L298N motor driver, and an ESP32 doit V1 microcontroller, was employed to assess key performance parameters.

The study finds that iron offers superior durability and strength but contributes to higher weight, impacting maneuverability and energy efficiency. Acrylic, in contrast, is lightweight and cost-effective, making it suitable for applications requiring transparency and moderate strength. The 3D printed chassis provides high design flexibility and customizability while maintaining a balance between weight and durability. A comparative analysis of these materials under controlled conditions provides valuable insights into their trade-offs, guiding developers in selecting the most appropriate chassis material for different robotic applications.

This research also integrates a review of recent advancements in chassis materials, emphasizing the importance of manufacturing techniques and material properties. Unlike previous studies, this work directly compares materials under identical testing conditions and evaluates their structural and functional impact. Future research directions include the exploration of hybrid materials and real-world testing under diverse environmental conditions. These findings contribute to the optimization of chassis selection for next-generation gesture-driven robots, improving their efficiency, adaptability, and long-term sustainability.

Keywords: Chassis materials, Gesture-driven robots, 3D printing, Robotics design

How to cite this article:
Sunny Nanade, Eesh Gharat, Archana Lakhe, Rushabh Shah. Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions. Journal of Polymer and Composites. 2025; 13(05):-.
How to cite this URL:
Sunny Nanade, Eesh Gharat, Archana Lakhe, Rushabh Shah. Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions. Journal of Polymer and Composites. 2025; 13(05):-. Available from: https://journals.stmjournals.com/jopc/article=2025/view=0


document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_196321’);});Edit

References

  1. Patel R, Singh H. Advanced lightweight materials for robotics. J Adv Manuf Sci. 2023;19(2):89–102.
  2. Williams J, Tanaka M. Hybrid chassis designs in autonomous robots. Robotics Today. 2022;15(3):210–24.
  3. Smith J, Johnson A. Traditional materials in chassis design. J Robot Eng. 2020;12(1):45–53.
  4. Chang KL, Patel R. Weight considerations in robotic design. Mater Sci Eng. 2018;8(1):101–9.
  5. Thompson PR. Acrylic materials in robotic applications. Adv Robot Res. 2021;15(1):88–95.
  6. Verma NK. Properties of acrylics for engineering. Polym Eng Sci. 2019;22(1):150–8.
  7. Harris GR. Materials selection for 3D printing in robotics. J Manuf Process. 2020;17(1):250–8.
  8. Yang DT, Ross FL. Flexibility in robotic design using 3D printing. J Mech Des. 2021;25(1):305–12.
  9. Brown CE. Current research gaps in robotic chassis design. Robot Today. 2022;10(1):110–8.
  10. Lee RJ, Martin EF. Sustainability in robotic materials. Environ Mater Rev. 2021;14(1):90–9.
  11. Garcia LA, Nguyen TM. Iron and its applications in robotics. In: Johnson BE, editor. Proceedings of the International Conference on Robotics and Automation; 2019; New York, USA. New York: IEEE; 2019. p. 123–30.
  12. Zhang Y, Kumar P. 3D-printed composite structures for robotic applications. In: Proceedings of the Global Symposium on Additive Manufacturing; 2023; Berlin, Germany. Berlin: Springer; 2023. p. 145–52.
  13. Williams MO, Carter SJ. 3D printed chassis: A new frontier. In: Proceedings of the International Symposium on Advanced Manufacturing Technology; 2020; Cleveland, USA. Cleveland: ASM International; 2020. p. 200–8.
Ahead of Print Subscription Original Research
Volume 13
05
Received 16/01/2025
Accepted 20/03/2025
Published 25/06/2025
Publication Time 160 Days
27

[last_name]

My IP

PlumX Metrics