Skip to main content
Log in

A geometric method based on space arc for pose-configuration simultaneous planning of segmented hyper-redundant manipulators

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

A segmented hyper-redundant manipulator can perform complicated operation tasks in a confined space due to its high flexibility and dexterity. However, the trajectory planning in a narrow space and obstacles environment is very challenging for the manipulator. In this paper, we propose a geometry method to simultaneously plan the end-effector pose and manipulator’s configuration. Firstly, the geometries of each segment are described by an inscribed arc (IA) and a circumscribed arc (CA). Then, the whole kinematics chain is considered as an inscribed curve (IC) or a circumscribed curve (CC) which are composed of multiple IAs or CAs. Furthermore, the IC and CC of the manipulator are divided into multiple spatial single-arc and double-arc groups according to requirements. The pose-configuration simultaneous planning is realized by the spatial single-arc/double-arc modeling and joints angles solving. By numerical iteration, the spatial arcs’ parameters are determined according to desired pose and boundary condition of obstacle avoidance. The angles of joints are analytically solved when the above parameters are known. Finally, a narrow space detection task is simulated and experimented respectively. The results verify the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Mo Y, Jiang Z H, Li H, et al. A kind of biomimetic control method to anthropomorphize a redundant manipulator for complex tasks. Sci China Tech Sci, 2020, 63: 14–24

    Article  Google Scholar 

  2. Wang H, Wang H, Huang J, et al. Smooth point-to-point trajectory planning for industrial robots with kinematical constraints based on high-order polynomial curve. Mech Mach Theor, 2019, 139: 284–293

    Article  Google Scholar 

  3. Yan L, Xu W, Hu Z, et al. Multi-objective configuration optimization for coordinated capture of dual-arm space robot. Acta Astronaut, 2020, 167: 189–200

    Article  Google Scholar 

  4. Ding X L, Wang Y C, Wang Y B, et al. A review of structures, verification, and calibration technologies of space robotic systems for on-orbit servicing. Sci China Tech Sci, 2021, 64: 462–480

    Article  Google Scholar 

  5. Xu W, Liu T, Li Y. Kinematics, dynamics, and control of a cable-driven hyper-redundant manipulator. IEEE/ASME Trans Mechatron, 2018, 23: 1693–1704

    Article  Google Scholar 

  6. Sheng X J, Tang L, Huang X J, et al. Operational-space wrench and acceleration capability analysis for multi-link cable-driven robots. Sci China Tech Sci, 2020, 63: 2063–2072

    Article  Google Scholar 

  7. Peng J, Xu W, Yang T, et al. Dynamic modeling and trajectory tracking control method of segmented linkage cable-driven hyper-redundant robot. Nonlinear Dyn, 2020, 101: 233–253

    Article  Google Scholar 

  8. Chirikjian G S, Burdick J W. A hyper-redundant manipulator. IEEE Robot Automat Mag, 1994, 1: 22–29

    Article  Google Scholar 

  9. Yuan H, Zhou L, Xu W. A comprehensive static model of cable-driven multi-section continuum robots considering friction effect. Mechanism Machine Theor, 2019, 135: 130–149

    Article  Google Scholar 

  10. Dasgupta B, Gupta A, Singla E. A variational approach to path planning for hyper-redundant manipulators. Robot Auton Syst, 2009, 57: 194–201

    Article  Google Scholar 

  11. Yahya S, Moghavvemi M, Mohamed H A F. Geometrical approach of planar hyper-redundant manipulators: Inverse kinematics, path planning and workspace. Simul Model Practice Theor, 2011, 19: 406–422

    Article  Google Scholar 

  12. Dione A C A, Hasegawa S, Mitake H. Stable posture control for planar hyper-redundant arms using selective control points. Adv Robot, 2017, 31: 1338–1348

    Article  Google Scholar 

  13. Tenreiro Machado J A, Lopes A M. A fractional perspective on the trajectory control of redundant and hyper-redundant robot manipulators. Appl Math Model, 2017, 46: 716–726

    Article  MathSciNet  Google Scholar 

  14. Ananthanarayanan H, Ordóñez R. Real-time inverse kinematics of (2n +1) dof hyper-redundant manipulator arm via a combined numerical and analytical approach. Mech Mach Theor, 2015, 91: 209–226

    Article  Google Scholar 

  15. Chirikjian G S, Burdick J W. A modal approach to hyper-redundant manipulator kinematics. IEEE Trans Robot Automat, 1994, 10: 343–354

    Article  Google Scholar 

  16. Xu W, Mu Z, Liu T, et al. A modified modal method for solving the mission-oriented inverse kinematics of hyper-redundant space manipulators for on-orbit servicing. Acta Astronaut, 2017, 139: 54–66

    Article  Google Scholar 

  17. Zhou J, Wu X J, Liu Z R. Distributed coordinated adaptive tracking in networked redundant robotic systems with a dynamic leader. Sci China Tech Sci, 2014, 57: 905–913

    Article  Google Scholar 

  18. Jiokou Kouabon A G, Melingui A, Mvogo Ahanda J J B, et al. A learning framework to inverse kinematics of high dof redundant manipulators. Mech Mach Theor, 2020, 153: 103978

    Article  Google Scholar 

  19. Mu Z, Yuan H, Xu W, et al. A segmented geometry method for kinematics and configuration planning of spatial hyper-redundant manipulators. IEEE Trans Syst Man Cybern Syst, 2020, 50: 1746–1756

    Article  Google Scholar 

  20. Chirikjian G S, Burdick J W. A geometric approach to hyper-redundant manipulator obstacle avoidance. J Mech Des, 1992, 114: 580–585

    Article  Google Scholar 

  21. Maciejewski A A, Klein C A. Obstacle avoidance for kinematically redundant manipulators in dynamically varying environments. Int J Robot Res, 1985, 4: 109–117

    Article  Google Scholar 

  22. Ashwin K P, Chaudhury A N, Ghosal A. Efficient representation of ducts and cluttered spaces for realistic motion planning of hyperredundant robots through confined paths. Comput-Aided Des, 2020, 119: 102777

    Article  MathSciNet  Google Scholar 

  23. Xidias E K. Time-optimal trajectory planning for hyper-redundant manipulators in 3D workspaces. Robot Comput-Integr Manuf, 2018, 50: 286–298

    Article  Google Scholar 

  24. Chembuly V V M J S, Voruganti H K. An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment. SN Appl Sci, 2020, 2: 1012

    Article  Google Scholar 

  25. Tang L, Zhu L M, Zhu X Y, et al. Confined spaces path following for cable-driven snake robots with prediction lookup and interpolation algorithms. Sci China Tech Sci, 2020, 63: 255–264

    Article  Google Scholar 

  26. Peng J, Xu W, Liu T, et al. End-effector pose and arm-shape synchronous planning methods of a hyper-redundant manipulator for spacecraft repairing. Mech Mach Theor, 2020, 155: 104062

    Article  Google Scholar 

  27. Safeea M, Béarée R, Neto P. Collision avoidance of redundant robotic manipulators using Newton’s method. J Intell Robot Syst, 2020, 99: 673–681

    Article  Google Scholar 

  28. Dalla V K, Pathak P M. Curve-constrained collision-free trajectory control of hyper-redundant planar space robot. P I Mech Eng I-J Syst Control Eng, 2017, 231: 282–298

    Google Scholar 

  29. Yang C, Geng S, Walker I, et al. Geometric constraint-based modeling and analysis of a novel continuum robot with shape memory alloy initiated variable stiffness. Int J Robot Res, 2020, 39: 1620–1634

    Article  Google Scholar 

  30. Liu T L, Mu Z G, Xu W F, et al. Improved mechanical design and simplified motion planning of hybrid active and passive cable-driven segmented manipulator with coupled motion. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Macao, 2019. 5978–5983

  31. Hu Z H, Yang T W, Xu W F et al. A kinematic equivalence trajectory planning method of hybrid active and passive cable-driven segmented hyper-redundant manipulator. In: 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). Dali, 2019. 1280–1285

  32. Xu W, Liang B, Li B, et al. A universal on-orbit servicing system used in the geostationary orbit. Adv Space Res, 2011, 48: 95–119

    Article  Google Scholar 

  33. Li M, Kang R, Branson D T, et al. Model-free control for continuum robots based on an adaptive kalman filter. IEEE/ASME Trans Mechatron, 2018, 23: 286–297

    Article  Google Scholar 

  34. Xu K, Simaan N. Analytic formulation for kinematics, statics, and shape restoration of multibackbone continuum robots via elliptic integrals. J Mech Robot, 2009, 2: 011006

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Han Yuan or WenFu Xu.

Additional information

This work was supported by the Key Research and Development Program of Guangdong Province (Grant No. 2019B090915001), the National Key R&D Program of China (Grant No. 2018YFB1304600), the National Natural Science Foundation of China (Grant No. 61803125), and the Basic Research Program of Shenzhen (Grant Nos. JCY20180507183610564, JCYJ20190806144416980, and JSGG20200103103401723).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, Z., Yuan, H., Xu, W. et al. A geometric method based on space arc for pose-configuration simultaneous planning of segmented hyper-redundant manipulators. Sci. China Technol. Sci. 64, 2389–2407 (2021). https://doi.org/10.1007/s11431-020-1811-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-020-1811-8

Keywords

Navigation