Pick and Place Drone using Primus X Flight Controller

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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 : 2026 | Volume : 4 | 01 | Page :
    By

    Hariom Bhagure,

  • Chirag Autade,

  • Pranjal Bhagwat,

  • Samruddhi Bankar,

  1. Student, Department of Mechatronics Engineering Sanjivani College of Engineering Kopargaon, Maharashtra, India
  2. Student, Department of Mechatronics Engineering Sanjivani College of Engineering Kopargaon, Maharashtra, India
  3. Student, Department of Mechatronics Engineering Sanjivani College of Engineering Kopargaon, Maharashtra, India
  4. Student, Department of Mechatronics Engineering Sanjivani College of Engineering Kopargaon, Maharashtra, India

Abstract

The development of an uncomplicated drone for pick-and-place tasks makes this project a superb beginner’s hands-on exercise. The drone is outfitted with an accelerometer, gyroscope, magnetometer, and barometric sensors which allows for controlled, stable flight. A Primus X flight controller powers the drone due to these features. The drone is sustained by a battery which drives four geared motor propellers. The gripper is designed in SolidWorks and cut using a laser cutter. The gripper is lightweight and mounted to the drone as well as servo driven by the flight controller. The drone has specific payload capacity. Due to the gripper, small payloads can be seized and lifted by the drone. The gripper can be controlled using the Pluto Flight Controller smartphone app which communicates with the drone via Wi-Fi. Pluto Blocks and the Cygnus IDE can both be used to program the Primus X controller, making it highly flexible and easy approachable by people with different skill levels. Cygnus IDE supports advanced programming tools enabling engineers to customize the automation capabilities of the drone by manipulating the flight dynamics, sensors, and pick-and-place operations leveraging C/C++ programming. Conversely, Pluto Blocks has a simple drag-and-drop programming feature that enables users to formulate automation sequences without needing prior programming knowledge. The construction of a simple drone that performs pick-and-place operations makes this project an excellent novice-level practical activity. This project help to bridging gap between theory and real-world based application in the field of robotics and autonomous aerial systems

Keywords: Drone, Pick-and-place, Flight controller (Primus X), Sensors (Accelerometer, Gyroscope, Magnetometer, Barometric), Gripper, Payload, Pluto Flight Controller app, Cygnus IDE, Automation, Robotics.

How to cite this article:
Hariom Bhagure, Chirag Autade, Pranjal Bhagwat, Samruddhi Bankar. Pick and Place Drone using Primus X Flight Controller. International Journal of Robotics and Automation in Mechanics. 2026; 04(01):-.
How to cite this URL:
Hariom Bhagure, Chirag Autade, Pranjal Bhagwat, Samruddhi Bankar. Pick and Place Drone using Primus X Flight Controller. International Journal of Robotics and Automation in Mechanics. 2026; 04(01):-. Available from: https://journals.stmjournals.com/ijram/article=2026/view=246225


References

  1. Rao, P. (2020). Autonomous Drones for Indoor Pick-and-Place Applications. International Journal of Robotics and Automation Studies, 12(3), 145–152.
  2. Lin, J., Zhao, Y., & Chen, H. (2021). Sensor Fusion Techniques in Drone Stabilization. Journal of Intelligent Systems and Control Engineering, 18(2), 89–97.
  3. Patel, A., & Kumar, R. (2019). Design and Testing of Servo-Controlled Grippers for UAVs. International Conference on Mechatronics and Embedded Systems, 1(1), 55–61.
  4. Fernandes, L. (2020). Educational Drones: Bridging Theory and Practice in Robotics Learning. Journal of STEM Education Research, 7(4), 210–218.
  5. Sharma, D. (2021). Wi-Fi-Based Drone Control Systems: A Mobile-Centric Approach. Wireless Systems and Emerging Technologies, 13(1), 44–51.
  6. Singh, M. (2 022). Battery Management for Lightweight Aerial Robots. International Journal of Power Electronics and Robotics, 9(1), 33–40.
  7. Banerjee, T., & Mehta, N. (2021). Customizable Flight Algorithms Using Open-Source IDEs for Micro-Drones. Journal of Programmable Devices and Automation, 6(2), 99–107.
  8. Pandey, A., Kumar, A., Diwan, T. D., Hasan, M. E., Mohanty, R. L., & Gour, S. S. (2022). New Concept-Based Six-Wheel Rocker-Bogie Robot: Design and Analysis. Vol-56, part-2, 726-734
  9. Toha, S. F. and Zakariya Zainol. “System Modelling of Rocker-Bogie Mechanism for Disaster Relief.” Procedia Computer Science, Volume 76, 2021, Pages 243-249
  10. Sharma, R., Jaiswal, R., Yadav, A., & Roy, S. (2020). “Design and Fabrication of Rocker Bogie Mechanism Automated Combat Rover.” International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 8 , Sep 2020, Pages 257-262

Ahead of Print Subscription Original Research
Volume 04
01
Received 13/01/2026
Accepted 26/02/2026
Published 12/03/2026
Publication Time 58 Days


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