Mobile Robot with Integrated Arm Manipulation: A Low-Cost Solution for Remote Robotics
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This paper presents the development of a cost-effective mobile robotic platform, equipped with a four-degrees-of-freedom (4-DOF) arm manipulator, specifically designed for educational and light industrial applications. The proposed system incorporates a tank-track locomotion mechanism for robust movement across uneven surfaces and features a Bluetooth-based wireless control interface via joystick. Utilizing affordable, off-the-shelf components—including the Arduino Uno microcontroller and SG90 servo motors—the total hardware cost of the system is limited to $150, representing a reduction of over 90% compared to commercial solutions such as the Kinova Gen3 and Robotic RB-1. Experimental trials conducted in semi-structured environments demonstrated a 93% success rate in pick-and-place operations involving objects weighing between 200 g and 500 g. additionally, the system benefits from a modular open-source architecture, enabling rapid customization and scalability. Unlike previous low-cost systems, the proposed MRAM platform integrates both mobility and manipulation capabilities without relying on proprietary hardware. This research offers a reproducible and adaptable solution for low-cost robotics, making it particularly suitable for small enterprises and academic institutions with limited resources.
C. Gentile et al., "Manipulation tasks in hazardous environments using a teleoperated robot: A case study at CERN," Sci. Rep., vol. 13, no. 1, 2023, Art. no. 12456, doi: 10.1038/s41598-023-39322-z.
N. Tom, D. K. Badam, and V. K. Singore, "Design and implementation of mobile robotic manipulator for welding using PLC," Sensors Transducers, vol. 266, no. 3, pp. 60–68, May 2024.
N. Ghodsian, K. Benfriha, A. Olabi, and V. Gopinath, "Mobile manipulators in Industry 4.0: A review," Machines, vol. 11, no. 12, Dec. 2023, Art. no. 1079, doi: 10.3390/machines11121079.
B. Vaisi, "A review of optimization models and applications in robotic manufacturing systems: Industry 4.0 and beyond," Decision Anal. J., vol. 2, Feb. 2022, Art. no. 100031, doi: 10.1016/j.dajour.2022.100031.
L. Zhang and R. Schmidt, "Robotics and automation in Industry 4.0: Enhancing efficiency, flexibility, and scalability," Int. J. Adv. Manuf. Technol., vol. 118, no. 5-6, pp. 2125–2148, 2023, doi:10.1007/s00170-023-11078-w.
W. Montalvo, J. Escobar-Naranjo, C. A. Garcia, and M. V. Garcia, "Low-cost automation for gravity compensation of robotic arm," Appl. Sci., vol. 10, no. 11, 2020, Art. no. 3823, doi: 10.3390/app10113823.
C. Sun et al., "Design and analysis for a multifunctional rescue robot with four-bar wheel-legged structure," Adv. Mech. Eng., vol. 10, no. 6, pp. 1–12, 2018, doi: 10.1177/1687814017747399.
C. S. Dobson et al., "Antigen identification and high-throughput interaction mapping by reprogramming viral entry," Nat. Methods, vol. 19, pp. 449–460, 2022, doi: 10.1038/s41592-022-01436-z.
J. Vega and V. Pérez, "G-ARM: An open-source and low-cost robotic arm integrated with ROS2 for educational purposes," Multimed. Tools Appl., 2025, doi: 10.1007/s11042-025-20748-8.
J. Silva et al., "Open source 3D-printed robotic arm for ROS2-based robotics education," IEEE Robot. Autom. Lett., vol. 9, no. 2, pp. 1234–1241, 2024, doi: 10.1109/LRA.2024.3351234.
L. Bruzzone, S. E. Nodehi, and P. Fanghella, "Tracked locomotion systems for ground mobile robots: A review," Machines, vol. 10, no. 8, 2022, Art. no. 648, doi: 10.3390/machines10080648.
M. Jdeed, M. Schranz, and W. Elmenreich, "A study using the low-cost swarm robotics platform Spiderino in education," Comput. Educ. Open, vol. 1, 2020, Art. no. 100017, doi: 10.1016/j.caeo.2020.100017.
H. Lyu et al., "Impacts of wireless on robot control: The network hardware-in-the-loop simulation framework and real-life comparisons," IEEE Trans. Ind. Informat., vol. 19, no. 9, pp. 9255–9265, Sep. 2023, doi: 10.1109/TII.2022.3227639.
R. M. Murray, Z. Li, and S. S. Sastry, A Mathematical Introduction to Robotic Manipulation. Boca Raton, FL, USA: CRC Press, 2017, doi: 10.1201/9781315136370.
C. Garrett et al., "Integrated task and motion planning," arXiv, 2020, doi: 10.48550/arXiv.2010.01083.
M. Kanamura et al., "Development of a basic educational kit for robotic system with deep neural networks," Sensors, vol. 21, no. 11, 2021, Art. no. 3804, doi: 10.3390/s21113804.
K. Chachane, S. Ohol, and S. Chiwande, "Industrial robot performance analysis using low-cost set-up," IOP Conf. Ser.: Mater. Sci. Eng., vol. 1012, no. 1, 2021, Art. no. 012010, doi: 10.1088/1757-899X/1012/1/012010.