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Hybrid Dynamics Modeling and Trajectory Planning for a Cable-Trailer System with a Quadruped Robot (2404.12220v1)

Published 18 Apr 2024 in cs.RO

Abstract: Inspired by the utilization of dogs in sled-pulling for transportation, we introduce a cable-trailer system with a quadruped robot. The motion planning of the proposed robot system presents challenges arising from the nonholonomic constraints of the trailer, system underactuation, and hybrid interaction through the cable. To tackle these challenges, we develop a hybrid dynamics model that accounts for the cable's taut/slack status. Since it is computationally intense to directly optimize the trajectory, we first propose a search algorithm to compute a sub-optimal trajectory as the initial solution. Then, a novel collision avoidance constraint based on the geometric shapes of objects is proposed to formulate the trajectory optimization problem for the hybrid system. The proposed trajectory planning method is implemented on a Unitree A1 quadruped robot with a customized cable-trailer and validated through experiments.

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References (25)
  1. T. Miki, J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning robust perceptive locomotion for quadrupedal robots in the wild,” Science Robotics, vol. 7, no. 62, p. eabk2822, 2022.
  2. M. Bjelonic, R. Grandia, M. Geilinger, O. Harley, V. S. Medeiros, V. Pajovic, E. Jelavic, S. Coros, and M. Hutter, “Offline motion libraries and online mpc for advanced mobility skills,” The International Journal of Robotics Research, vol. 41, no. 9-10, pp. 903–924, 2022.
  3. F. Jenelten, J. He, F. Farshidian, and M. Hutter, “Dtc: Deep tracking control,” Science Robotics, vol. 9, no. 86, p. eadh5401, 2024.
  4. O. Ljungqvist, N. Evestedt, D. Axehill, M. Cirillo, and H. Pettersson, “A path planning and path-following control framework for a general 2-trailer with a car-like tractor,” Journal of field robotics, vol. 36, no. 8, pp. 1345–1377, 2019.
  5. B. Li, T. Acarman, Y. Zhang, L. Zhang, C. Yaman, and Q. Kong, “Tractor-trailer vehicle trajectory planning in narrow environments with a progressively constrained optimal control approach,” IEEE Transactions on Intelligent Vehicles, vol. 5, no. 3, pp. 414–425, 2019.
  6. H. Zhao, Z. Liu, Z. Li, S. Zhou, W. Chen, C. Suo, and Y.-H. Liu, “Modelling and dynamic tracking control of industrial vehicles with tractor-trailer structure,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   IEEE, 2019, pp. 2905–2910.
  7. G. Yu, D. Cabecinhas, R. Cunha, and C. Silvestre, “Aggressive maneuvers for a quadrotor-slung-load system through fast trajectory generation and tracking,” Autonomous Robots, vol. 46, no. 4, pp. 499–513, 2022.
  8. P. Foehn, D. Falanga, N. Kuppuswamy, R. Tedrake, and D. Scaramuzza, “Fast trajectory optimization for agile quadrotor maneuvers with a cable-suspended payload.”   Robotics: Science and Systems Foundation, 2017.
  9. J. Zeng, P. Kotaru, M. W. Mueller, and K. Sreenath, “Differential flatness based path planning with direct collocation on hybrid modes for a quadrotor with a cable-suspended payload,” IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 3074–3081, 2020.
  10. C. Yang, G. N. Sue, Z. Li, L. Yang, H. Shen, Y. Chi, A. Rai, J. Zeng, and K. Sreenath, “Collaborative navigation and manipulation of a cable-towed load by multiple quadrupedal robots,” IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 10 041–10 048, 2022.
  11. S. Tang and V. Kumar, “Mixed integer quadratic program trajectory generation for a quadrotor with a cable-suspended payload,” in 2015 IEEE international conference on robotics and automation (ICRA).   IEEE, 2015, pp. 2216–2222.
  12. A. Xiao, W. Tong, L. Yang, J. Zeng, Z. Li, and K. Sreenath, “Robotic guide dog: Leading a human with leash-guided hybrid physical interaction,” in 2021 IEEE International Conference on Robotics and Automation (ICRA).   IEEE, 2021, pp. 11 470–11 476.
  13. X. Zhang, A. Liniger, and F. Borrelli, “Optimization-based collision avoidance,” IEEE Transactions on Control Systems Technology, vol. 29, no. 3, pp. 972–983, 2020.
  14. B. Li and Z. Shao, “A unified motion planning method for parking an autonomous vehicle in the presence of irregularly placed obstacles,” Knowledge-Based Systems, vol. 86, pp. 11–20, 2015.
  15. S. Yang, B. He, Z. Wang, C. Xu, and F. Gao, “Whole-body real-time motion planning for multicopters,” in 2021 IEEE International Conference on Robotics and Automation (ICRA).   IEEE, 2021, pp. 9197–9203.
  16. Q. Wang, Z. Wang, L. Pei, C. Xu, and F. Gao, “A linear and exact algorithm for whole-body collision evaluation via scale optimization,” in 2023 IEEE International Conference on Robotics and Automation (ICRA).   IEEE, 2023, pp. 3621–3627.
  17. S. Geng, Q. Wang, L. Xie, C. Xu, Y. Cao, and F. Gao, “Robo-centric esdf: A fast and accurate whole-body collision evaluation tool for any-shape robotic planning,” in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   IEEE, 2023, pp. 290–297.
  18. D. Dolgov, S. Thrun, M. Montemerlo, and J. Diebel, “Path planning for autonomous vehicles in unknown semi-structured environments,” The international journal of robotics research, vol. 29, no. 5, pp. 485–501, 2010.
  19. J. Reeds and L. Shepp, “Optimal paths for a car that goes both forwards and backwards,” Pacific journal of mathematics, vol. 145, no. 2, pp. 367–393, 1990.
  20. A. M. Shkel and V. Lumelsky, “Classification of the dubins set,” Robotics and Autonomous Systems, vol. 34, no. 4, pp. 179–202, 2001.
  21. J. A. Andersson, J. Gillis, G. Horn, J. B. Rawlings, and M. Diehl, “Casadi: a software framework for nonlinear optimization and optimal control,” Mathematical Programming Computation, vol. 11, pp. 1–36, 2019.
  22. L. T. Biegler and V. M. Zavala, “Large-scale nonlinear programming using ipopt: An integrating framework for enterprise-wide dynamic optimization,” Computers & Chemical Engineering, vol. 33, no. 3, pp. 575–582, 2009.
  23. F. Farshidian et al., “OCS2: An open source library for optimal control of switched systems,” [Online]. Available: https://github.com/leggedrobotics/ocs2.
  24. R. Grandia, F. Jenelten, S. Yang, F. Farshidian, and M. Hutter, “Perceptive locomotion through nonlinear model-predictive control,” IEEE Transactions on Robotics, 2023.
  25. W. Xu, Y. Cai, D. He, J. Lin, and F. Zhang, “Fast-lio2: Fast direct lidar-inertial odometry,” IEEE Transactions on Robotics, vol. 38, no. 4, pp. 2053–2073, 2022.

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