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Paper ID:IJSREM64944

S.A.A.R: Design and Implementation of a 12-DOF Quadruped Robot Using ROS 2 Humble, Raspberry Pi 4B, and Inverse Kinematics-Based Crawl Gait with Stand, Sit, and Walk Behaviours

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64944

Volume:

10 |

6 |

Jun 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64944

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RS

Rohit Sonawane

Electronics and telecommunication

Dhole Patil College of Engineering, Pune

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VS

Vaibhav Suryawanshi

Electronics and telecommunication

Dhole Patil College of Engineering, Pune

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RK

Rohan Kharat

Electronics and telecommunication

Dhole Patil College of Engineering, Pune

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AS

Asad Sayyed

Electronics and telecommunication

Dhole Patil College of Engineering, Pune

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ST

Shrikant Taware

Electronics and telecommunication

Dhole Patil College of Engineering, Pune

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DP

Dhananjay Poul

Electronics and telecommunication

Dhole Patil College of Engineering, Pune

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Abstract

This paper presents the design, development, and experimental evaluation of S.A.A.R. (Semi-Autonomous Articulated Robot), a 12 Degree-of-Freedom (DOF) quadruped robot inspired by canine locomotion. The mechanical structure, adapted from an open-source GrabCAD CAD model, features four three-DOF legs each comprising a shoulder abductor link, a 100 mm upper leg link, and a curved lower shank link. Twelve 25 kg/cm digital servo motors at 7.4 V provide joint actuation, powered by an 11.4 V 2200 mAh 3S Li-Po battery through a 20 A 330 W DC-DC buck converter. The robot is controlled by a Raspberry Pi 4B running Ubuntu 22.04 LTS with ROS 2 Humble as the middleware. The S.A.A.R Driver implements four motion behaviours: Stand Up, Sit Down, Crawl/Walk (Single Leg Pattern gait), and Rest. A closed-form analytical IK solver maps desired foot positions (X, Y, Z) and shoulder offset (a) to joint angles (θ1, θ2, θ3). Remote operation is achieved via Bluetooth keyboard. IK instability during crawl locomotion is investigated and attributed to link length assembly tolerances, body frame compliance, and open-loop control architecture.

KEYWORDS

Quadruped Robot; Inverse Kinematics; ROS 2 Humble; Raspberry Pi 4B; Single Leg Pattern Gait; Crawl Gait; Legged Locomotion

Cite This Article

Rohit Sonawane, Vaibhav Suryawanshi, Rohan Kharat, Asad Sayyed, Shrikant Taware, Dhananjay Poul, "S.A.A.R: Design and Implementation of a 12-DOF Quadruped Robot Using ROS 2 Humble, Raspberry Pi 4B, and Inverse Kinematics-Based Crawl Gait with Stand, Sit, and Walk Behaviours," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-6, Jun 2026. https://doi.org/10.55041/IJSREM64944

Full Article/Conclusion

This paper presented S.A.A.R, a 12-DOF quadruped robot controlled by a Raspberry Pi 4B running ROS 2 Humble. The S.A.A.R Driver implements four validated motion behaviours — Stand Up, Sit Down, Crawl/Walk (SLP gait), and Rest — through a layered software architecture. Power is provided by an 11.4 V 2200 mAh Li-Po battery through a 20 A buck converter to twelve 25 kg/cm servo motors. IK instability during crawl locomotion was systematically attributed to link length parameter mismatch, body frame torsional compliance, and absence of closed-loop feedback. Stand Up and Sit Down transitions were successful, confirming correctness of the joint-space interpolation approach. Future work: (1) Kinematic Calibration — measure actual link lengths, update IK parameters; (2) IMU Feedback — MPU-6050 for body-tilt compensation; (3) Trajectory Smoothing — cubic Bézier curves for foot swing paths; (4) Advanced Gaits — trot gait via Central Pattern Generator (CPG); (5) Reinforcement Learning — sim-to-real policy in Gazebo/PyBullet for terrain-adaptive locomotion.

References

[1] R. B. McGhee and A. A. Frank, "On the stability properties of quadruped creeping gaits," Mathematical Biosciences, vol. 3, no. 2, pp. 331–351, 1968. [2] M. Raibert, K. Blankespoor, G. Nelson, and R. Playter, "BigDog, the rough-terrain quadruped robot," IFAC Proceedings Volumes, vol. 41, no. 2, pp. 10822–10825, 2008. [3] GrabCAD Community, "DIY Quadruped Robot," GrabCAD Library, 2020. [Online]. Available: https://grabcad.com/library/diy-quadruped-robot-1 [Accessed: Mar. 2025]. [4] S. Macenski, T. Foote, B. Gerkey, C. Lalancette, and W. Woodall, "Robot Operating System 2: Design, architecture, and uses in the wild," Science Robotics, vol. 7, no. 66, eabm6074, May 2022. [5] L. Maes, A. Schootemeijer, and A. Aerts, "Static stability and the gait transition in quadrupeds," Journal of Experimental Biology, vol. 211, pp. 3196–3206, 2008. [6] G. Bledt, M. J. Powell, B. Katz, J. Di Carlo, P. M. Wensing, and S. Kim, "MIT Cheetah 3: Design and control of a robust, dynamic quadruped robot," in Proc. IEEE/RSJ IROS, Madrid, Spain, Oct. 2018, pp. 2245–2252. [7] M. Kamrad, "Spot Micro Quadruped Project," GitHub. [Online]. Available: https://github.com/mike4192/spotMicro [Accessed: 2025]. [8] P. Fankhauser et al., "Robust rough-terrain locomotion with a quadrupedal robot," in Proc. IEEE ICRA, Brisbane, Australia, 2018, pp. 5761–5768. [9] B. Siciliano, L. Sciavicco, L. Villani, and G. Oriolo, Robotics: Modelling, Planning and Control. London: Springer, 2009, ch. 2, pp. 40–62. [10] D. Kim, J. Di Carlo, B. Katz, G. Bledt, and S. Kim, "Highly dynamic quadruped locomotion via whole-body impulse control and model predictive control," arXiv preprint arXiv:1909.06586, Sep. 2019. [11] A. Soragna et al., "Active Benchmark of ROS 2 Communication Middlewares," in Proc. IEEE ICRA, Xi'an, China, 2021, pp. 1–7.

Editorial & Review Transparency

Publication Date

6/14/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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