1. Harun-Or-Rashid, M.: Design and development of a robotic arm for sorting colored object. In: 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), pp. 1–5. IEEE (2021)

   Google Scholar 

2. Oke, A.O., Afolabi, A.: Development of a robotic arm for dangerous object disposal. In: International Conference on Computer Science and Information Technology, pp. 153–160. IEEE (2014)

   Google Scholar 

3. Do, H.M., Park, C., Kyung, J.H.: Dual arm robot for packaging and assembling of IT products. In: 2012 IEEE International Conference on Automation Science and Engineering (CASE), pp. 1067–1070. IEEE (2012)

   Google Scholar 

4. Shut, R., and Hollis, R.: Development of a humanoid dual arm system for a single spherical wheeled balancing mobile robot. In: International Conference on Humanoid Robots (Humanoids), pp. 499–504. IEEE (2019)

   Google Scholar 

5. Saeedvand, S., Jafari, M.: A comprehensive survey on humanoid robot development. Knowl. Eng. Rev.34 (2019)

   Google Scholar 

6. Lv, N., Liu, J., Jia, Y.: Dynamic modeling and control of deformable linear objects for single-arm and dual-arm robot manipulations. IEEE Trans. Robot. 1–13 (2022)

   Google Scholar 

7. Utkin, V.: Variable structure systems with sliding modes. IEEE Trans. Autom. Control22(2), 212–222 (2003)

   Article MathSciNet  Google Scholar 

8. Sabanovic, A.: Variable structure systems with sliding modes in motion control—a survey. IEEE Trans. Industr. Inf.7(2), 212–223 (2011)

   Article  Google Scholar 

9. Jin, M., Jin, Y., Hun, P., et al.: High-accuracy tracking control of robot manipulators using time delay estimation and terminal sliding mode. Int. J. Adv. Robot. Syst.8(4), 65–78 (2011)

   Article  Google Scholar 

10. Lin, C., Guo, H., Meng, S., Ding, X.: Sensorless control of PMSM based on modified sliding mode observer. In: 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1–5. IEEE (2016)

    Google Scholar 

11. Xu, J., Wang, Q, Lin. Q.: Parallel robot with fuzzy neural network sliding mode control. Adv. Mech. Eng.10(10) (2018)

    Google Scholar 

12. Su, X., Wen, Y., Shi, P.: Event-triggered fuzzy control for nonlinear systems via sliding mode approach. IEEE Trans. Fuzzy Syst.29(2), 336–344 (2019)

    Article  Google Scholar 

13. Pham, D.T., et al.: Adaptive neural network based dynamic surface control for uncertain dual arm robots. Int. J. Dyn. Control8(3), 824–834 (2020).https://doi.org/10.1007/s40435-019-00600-2

    Article MathSciNet  Google Scholar 

14. Uchiyama, M., Dauchez, P.: Symmetric kinematic formulation and non-master/slave coordinated control of two-arm robots. Adv. Robot.7(4), 361–383 (1992)

    Article  Google Scholar 

15. Raibert, M.H., Craig, J.J.: Hybrid position/force control of manipulators. (1981)

    Google Scholar 

16. Hogan N.: impedance control - an approach to manipulation. I- theory. II - implementa-tion. III - applications. J. Dyn. Syst. Measure. Control 107, 1–24 (1985)

    Google Scholar 

17. Ott, C., Mukherjee, R., Nakamura, Y.: Unified impedance and admittance control. In: 2010 IEEE international conference on robotics and automation, pp. 554–561. IEEE (2021)

    Google Scholar 

18. Jiao, C., Wei, X., Zhao, H., Xiaojie, S.U.: Adaptive hybrid impedance control for a dual-arm robot manipulating an unknown object. In: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, pp. 2754–2759. IEEE (2020)

    Google Scholar 

19. Lin, Y., Chen, Z., Yao, B.: Unified motion/force/impedance control for manipulators in unknown contact environments based on robust model-reaching approach. IEEE/ASME Trans. Mechatron.26(4), 1905–1913 (2021)

    Article  Google Scholar 

20. Li, D.J., Xu, D.G., Gui, W.H.: Cooperative impedance control of two manipulators based on time delay estimation and adaptive fuzzy sliding mode controller. Control Decis.36(6), 13 (2021)

    Google Scholar 

Download references