[Anderson, R.J. and Spong, M.W. (1988). Hybrid impedance control of robotic manipulators, IEEE Journal on Robotics and Automation 4(5): 549-556.10.1109/56.20440]Search in Google Scholar
[Belter, D., Łabecki, P., Fankhauser, P. and Siegwart, R. (2016). RGB-D terrain perception and dense mapping for legged robots, International Journal of Applied Mathematics and Computer Science 26(1): 81-97, DOI: 10.1515/amcs-2016-0006.10.1515/amcs-2016-0006]Open DOISearch in Google Scholar
[Canudas, C., Siciliano, B. and Bastin, G. (1996). Theory of Robot Control, Springer, London.]Search in Google Scholar
[Carelli, R. and Kelly, R. (1991). An adaptive impedance/force controller for robot manipulators, IEEE Transactions on Automatic Control 36(8): 967-971.10.1109/9.133190]Search in Google Scholar
[Chiaverini, S., Siciliano, B. and Villani, L. (1999). A survey of robot interaction control schemes with experimental comparison, IEEE/ASME Transactions on Mechatronics 4(3): 273-285.10.1109/3516.789685]Search in Google Scholar
[Chien, M.-C. and Huang, A.-C. (2004). Adaptive impedance control of robot manipulators based on function approximation technique, Robotica 22(4): 395-403.10.1017/S0263574704000190]Search in Google Scholar
[Dulęba, I. and Opałka, M. (2013). A comparison of jacobian-based methods of inverse kinematics for serial robot manipulators, International Journal of Applied Mathematics and Computer Science 23(2): 373-382, DOI: 10.2478/amcs-2013-0028.10.2478/amcs-2013-0028]Open DOISearch in Google Scholar
[Gribovskaya, E., Kheddar, A. and Billard, A. (2011). Motion learning and adaptive impedance for robot control during physical interaction with humans, Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp. 4326-4332.10.1109/ICRA.2011.5980070]Search in Google Scholar
[Hagn, U., Nickl, M., Jörg, S., Passig, G., Bahls, T., Nothhelfer, A., Hacker, F., Le-Tien, L., Albu-Schäffer, A. et al. (2008). The DLR MIRO: A versatile lightweight robot for surgical applications, Industrial Robot: An International Journal 35(4): 324-336.10.1108/01439910810876427]Search in Google Scholar
[Haninger, K., Lu, J. and Tomizuka, M. (2016). Robust impedance control with applications to a series-elastic actuated system, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, pp. 5367-5372.10.1109/IROS.2016.7759789]Search in Google Scholar
[He, W., Dong, Y. and Sun, C. (2016). Adaptive neural impedance control of a robotic manipulator with input saturation, IEEE Transactions on Systems, Man, and Cybernetics: Systems 46(3): 334-344.10.1109/TSMC.2015.2429555]Search in Google Scholar
[Hogan, N. (1985). Impedance control: An approach to manipulation: Part I-Theory, Part II-Implementation, Part III-Applications, ASME Journal of Dynamic Systems, Measurement, and Control 107(1): 1-24.10.1115/1.3140701]Search in Google Scholar
[Horn, R.A. and Johnson, C.R. (2012). Matrix Analysis, Cambridge University Press, New York, NY.]Search in Google Scholar
[Hussain, S., Xie, S.Q. and Jamwal, P.K. (2013). Adaptive impedance control of a robotic orthosis for gait ehabilitation, IEEE Transactions on Cybernetics 43(3): 1025-1034.10.1109/TSMCB.2012.222237423193241]Search in Google Scholar
[Jianbin, H., Zongwu, X., Minghe, J., Zainan, J. and Hong, L. (2009). Adaptive impedance-controlled manipulator based on collision detection, Chinese Journal of Aeronautics 22(1): 105-112.10.1016/S1000-9361(08)60075-8]Search in Google Scholar
[Jiang, Z.-H. (2005). Impedance control of flexible robot arms with parametric uncertainties, Journal of Intelligent and Robotic Systems 42(2): 113-133.10.1007/s10846-005-0933-x]Search in Google Scholar
[Kang, S.H., Jin, M. and Chang, P.H. (2009). A solution to the accuracy/robustness dilemma in impedance control, IEEE/ASME Transactions on Mechatronics 14(3): 282-294.10.1109/TMECH.2008.2005524]Search in Google Scholar
[Kelly, R., Santibáñez, V. and Loría, A. (2005). Control of Robot Manipulators in Joint Space, Springer-Verlag, London.]Search in Google Scholar
[Khalil, H.K. (1996). Nonlinear Systems, Prentice-Hall, Upper Saddle River, NJ.]Search in Google Scholar
[Li, Z., Huang, Z., He, W. and Su, C.-Y. (2017). Adaptive impedance control for an upper limb robotic exoskeleton using biological signals, IEEE Transactions on Industrial Electronics 64(2): 1664-1674.10.1109/TIE.2016.2538741]Search in Google Scholar
[Lu, W.-S. and Meng, Q.-H. (1991). Impedance control with adaptation for robotic manipulations, IEEE Transactions on Robotics and Automation 7(3): 408-415.10.1109/70.88152]Search in Google Scholar
[Marchal-Crespo, L. and Reinkensmeyer, D.J. (2009). Review of control strategies for robotic movement training after neurologic injury, Journal of Neuroengineering and Rehabilitation 6(20): 1-15.10.1186/1743-0003-6-20271033319531254]Search in Google Scholar
[Martínez, P.A., Castelán, M. and Arechavaleta, G. (2016). Vision based persistent localization of a humanoid robot for locomotion tasks, International Journal of Applied Mathematics and Computer Science 26(3): 669-682, DOI: 10.1515/amcs-2016-0046.10.1515/amcs-2016-0046]Open DOISearch in Google Scholar
[Mendoza, M., Bonilla, I., Reyes, F. and González-Galván, E. (2012). A Lyapunov-based design tool of impedance controllers for robot manipulators, Kybernetika 48(6): 1136-1155.]Search in Google Scholar
[Michel, A.N., Hou, L. and Liu, D. (2008). Stability of Dynamical Systems, Birkhaüser, Boston, MA.]Search in Google Scholar
[Pérez-Ibarra, J.C., Dos Santos, W.M., Krebs, H.I. and Siqueira, A.A. (2014). Adaptive impedance control for robot-aided rehabilitation of ankle movements, Proceedings of the 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, Sao Paulo, Brazil, pp. 664-669.10.1109/BIOROB.2014.6913854]Search in Google Scholar
[Rahimifard, S., Talebi, H. and Mohammadi, A.D. (2016). Impedance control of non-passive bilateral teleoperation systems with uncertain dynamics, Proceedings of the 24th Iranian Conference on Electrical Engineering (ICEE), Shiraz, Iran, pp. 1931-1936.10.1109/IranianCEE.2016.7585837]Search in Google Scholar
[Reyes, F. and Kelly, R. (1997). Experimental evaluation of identification schemes on a direct drive robot, Robotica 15(05): 563-571.10.1017/S0263574797000659]Search in Google Scholar
[Rodríguez-Liñán, M.C., Mendoza, M., Bonilla, I. and Chávez-Olivares, C.A. (2017). Saturating stiffness control of robot manipulators with bounded inputs, International Journal of Applied Mathematics and Computer Science 27(1): 79-90, DOI: 10.1515/amcs-2017-0006.10.1515/amcs-2017-0006]Open DOISearch in Google Scholar
[Rouche, N., Habets, P. and Laloy, M. (1977). Stability Theory by Lyapunov’s Direct Method, Springer, New York, NY.10.1007/978-1-4684-9362-7]Search in Google Scholar
[Sciavicco, L. and Siciliano, B. (2000). Modelling and Control of Robot Manipulators, Springer, London.10.1007/978-1-4471-0449-0]Search in Google Scholar
[Sharifi, M., Behzadipour, S. and Vossoughi, G. (2012). Model reference adaptive impedance control of rehabilitation robots in operational space, Proceedings of the 4th IEEE RAS & EMBS International Conference on Biomedical10.1109/BioRob.2012.6290690]Search in Google Scholar
[Robotics and Biomechatronics (BioRob), Rome, Italy, pp. 1698-1703.]Search in Google Scholar
[Sharifi, M., Behzadipour, S. and Vossoughi, G. (2014). Nonlinear model reference adaptive impedance control for human-robot interactions, Control Engineering Practice 32(1): 9-27.10.1016/j.conengprac.2014.07.001]Search in Google Scholar
[Slotine, J.-J.E., Li, W. (1991). Applied Nonlinear Control, Prentice-Hall, Englewood Cliffs, NJ. Song, A., Pan, L., Xu, G. and Li, H. (2015). Adaptive motion control of arm rehabilitation robot based on impedance identification, Robotica 33(9): 1795-1812.10.1017/S026357471400099X]Search in Google Scholar
[Spong, M., Hutchinson, S. and Vidyasagar, M. (2005). Robot Modeling and Control, Wiley, New York, NY.]Search in Google Scholar
[Takegaki, M. and Arimoto, S. (1981). A new feedback method for dynamic control of manipulators, ASME Journal of Dynamic Systems, Measurement, and Control 103(2): 119-125.10.1115/1.3139651]Search in Google Scholar
[Wang, H. and Xie, Y. (2009). Adaptive inverse dynamics control of robots with uncertain kinematics and dynamics, Automatica 45(9): 2114-2119.10.1016/j.automatica.2009.05.011]Search in Google Scholar
[Xu, G., Song, A. and Li, H. (2011). Adaptive impedance control for upper-limb rehabilitation robot using evolutionary dynamic recurrent fuzzy neural network, Journal of Intelligent & Robotic Systems 62(3): 501-525.10.1007/s10846-010-9462-3]Search in Google Scholar
[Yang, C., Chen, J. and Cheng, L. (2016). Neural learning enhanced teleoperation control of robots with uncertainties, Proceedings of the 9th International Conference on Human System Interactions (HSI), Portsmouth, UK, pp. 223-228.10.1109/HSI.2016.7529635]Search in Google Scholar
[Yarza, A., Santibanez, V. and Moreno-Valenzuela, J. (2013). An adaptive output feedback motion tracking controller for robot manipulators: Uniform global asymptotic stability and experimentation, International Journal of Applied Mathematics and Computer Science 23(3): 599-611, DOI: 10.2478/amcs-2013-0045.10.2478/amcs-2013-0045]Open DOISearch in Google Scholar