[
Aguilar-Ibanez, C. and Suarez-Castanon, M.S. (2019). A trajectory planning based controller to regulate an uncertain 3D overhead crane system, International Journal of Applied Mathematics and Computer Science 29(4): 693–702, DOI: 10.2478/amcs-2019-0051.10.2478/amcs-2019-0051
]Search in Google Scholar
[
Berselli, G., Balugani, F., Pellicciari, M. and Gadaleta, M. (2016). Energy-optimal motions for servo-systems: A comparison of spline interpolants and performance indexes using a CAD-based approach, Robotics and Computer-Integrated Manufacturing 40: 55–65.10.1016/j.rcim.2016.01.003
]Search in Google Scholar
[
Boor, C.D. and Fix, G.J. (1973). Spline approximation by quasi-interpolants, Journal of Approximation Theory 8(1): 19–45.10.1016/0021-9045(73)90029-4
]Search in Google Scholar
[
Cheon, H. and Kim, B.K. (2019). Online bidirectional trajectory planning for mobile robots in state-time space, IEEE Transactions on Industrial Electronics 66(6): 4555–4565.10.1109/TIE.2018.2866039
]Search in Google Scholar
[
Cui, L., Wang, H. and Chen, W. (2020). Trajectory planning of a spatial flexible manipulator for vibration suppression, Robotics and Autonomous Systems 123: 1–11, Paper no. 103316.
]Search in Google Scholar
[
Desai, A., Collins, M. and Michael, N. (2019). Efficient kinodynamic multi-robot replanning in known workspaces, 2019 International Conference on Robotics and Automation (ICRA), Montreal, Canada, pp. 1021–1027.
]Search in Google Scholar
[
Fahroo, F. and Ross, I.M. (2000). Direct trajectory optimization by a Chebyshev pseudospectral method, Proceedings of the 2000 American Control Conference, Chicago, USA,Vol.6, pp. 3860–3864.
]Search in Google Scholar
[
Fang, Y., Qi, J., Hu, J., Wang, W. and Peng, Y. (2020). An approach for jerk-continuous trajectory generation of robotic manipulators with kinematical constraints, Mechanism and Machine Theory 153: 1–22, Paper no. 103957.
]Search in Google Scholar
[
Gong, Q., Kang, W. and Ross, I.M. (2006). A pseudospectral method for the optimal control of constrained feedback linearizable systems, IEEE Transactions on Automatic Control 51(7): 1115–1129.10.1109/TAC.2006.878570
]Search in Google Scholar
[
Heidari, H. and Saska, M. (2020). Trajectory planning of quadrotor systems for various objective functions, Robot-ica 39(1): 137–152.10.1017/S0263574720000247
]Search in Google Scholar
[
Kim, J. (2020). Trajectory generation of a two-wheeled mobile robot in an uncertain environment, IEEE Transactions on Industrial Electronics 67(7): 5586–5594.10.1109/TIE.2019.2931506
]Search in Google Scholar
[
Kroger, T. and Wahl, F.M. (2010). Online trajectory generation: Basic concepts for instantaneous reactions to unforeseen events, IEEE Transactions on Robotics 26(1): 94–111.10.1109/TRO.2009.2035744
]Search in Google Scholar
[
Li, J., Ran, M. and Xie, L. (2021). Efficient trajectory planning for multiple non-holonomic mobile robots via prioritized trajectory optimization, IEEE Robotics and Automation Letters 6(2): 405–412.10.1109/LRA.2020.3044834
]Search in Google Scholar
[
Liu, C., Zhang, C. and Xiong, F. (2020). Multistage cooperative trajectory planning for multimissile formation via bi-level sequential convex programming, IEEE Access 8: 22834–22853.10.1109/ACCESS.2020.2967873
]Search in Google Scholar
[
Liu, P., Han, Y., Wang, W., Liu, X. and Liu, J. (2018). Maneuvering trajectory planning during the whole phase based on piecewise Radau pseudospectral method, Proceedings of the 37th Chinese Control Conference, Wuhan, China, pp. 4627–4632.
]Search in Google Scholar
[
Liu, Y., Zhang, Z., Wu, Z., Liu, F. and Li, X. (2021). Multiobjective preimpact trajectory-planning of space manipulator for self-assembling a heavy payload, International Journal of Advanced Robotic Systems 18(1): 1–22, Paper no. 1729881421990285.
]Search in Google Scholar
[
Mercy, T., Hostens, E. and Pipeleers, G. (2018). Online motion planning for autonomous vehicles in vast environments, 2018 IEEE 15th International Workshop on Advanced Motion Control (AMC), Tokyo, Japan, pp. 114–119.
]Search in Google Scholar
[
Muscio, G., Pierri, F., Trujillo, M.A., Cataldi, E., Antonelli, G., Caccavale, F., Viguria, A., Chiaverini, S., and Ollero, A. (2018). Coordinated control of aerial robotic manipulators: Theory and experiments, IEEE Transactions on Control Systems Technology 26(4): 1406–1413.10.1109/TCST.2017.2716905
]Search in Google Scholar
[
Park, J. and Kim, H.J. (2021). Online trajectory planning for multiple quadrotors in dynamic environments using relative safe flight corridor, IEEE Robotics and Automation Letters 6(2): 659–666.10.1109/LRA.2020.3047786
]Search in Google Scholar
[
Powell, M.J.D. (1981). Approximation Theory and Methods, Cambridge University Press, Cambridge.10.1017/CBO9781139171502
]Search in Google Scholar
[
Qian, Y., Yuan, J. and Wan, W. (2020). Improved trajectory planning method for space robot-system with collision prediction, Journal of Intelligent and Robotic System 99(11): 289–302.10.1007/s10846-019-01113-y
]Search in Google Scholar
[
Rousseau, G., Maniu, C.S., Tebbani, S., Babel, M. and Martin, N. (2019). Minimum-time B-spline trajectories with corridor constraints: Application to cinematographic quadrotor flight plans, Control Engineering Practice 89: 190–203.10.1016/j.conengprac.2019.05.022
]Search in Google Scholar
[
Schoenberg, I.J. (1969). Approximations with Special Emphasis on Spline Functions, Academic Press, Madison.
]Search in Google Scholar
[
Spedicato, S. and Notarstefano, G. (2018). Minimum-time trajectory generation for quadrotors in constrained environments, IEEE Transactions on Control Systems Technology 26(4): 1335–1344.10.1109/TCST.2017.2709268
]Search in Google Scholar
[
Sun, K. and Liu, X. (2021). Path planning for an autonomous underwater vehicle in a cluttered underwater environment based on the heat method, International Journal of Applied Mathematics and Computer Science 31(2): 289–301, DOI: 10.34768/amcs-2021-0020.
]Search in Google Scholar
[
Tatematsu, N. and Ohnishi, K. (2003). Tracking motion of mobile robot for moving target using NURBS curve, IEEE International Conference on Industrial Technology, Maribor, Slovenia, Vol. 1, pp. 245–249.
]Search in Google Scholar
[
Tho, H.D., Kaneshige, A. and Terashima, K. (2020). Minimum-time s-curve commands for vibration-free transportation of an overhead crane with actuator limits, Control Engineering Practice 98: 1–12, Paper no. 104390.
]Search in Google Scholar
[
Wang, M., Xiao, J., Zeng, F. and Wang, G. (2020). Research on optimized time-synchronous online trajectory generation method for a robot arm, Robotics and Autonomous Systems 126: 1–12, Paper no. 103453, DOI: 10.1016/j.robot.2020.103453.10.1016/j.robot.2020.103453
]Search in Google Scholar
[
Wang, Y., Ueda, K. and Bortoff, S.A. (2013). A Hamiltonian approach to compute an energy efficient trajectory for a servomotor system, Automatica 49(12): 3550–3561.10.1016/j.automatica.2013.09.019
]Search in Google Scholar
[
Yu, L., Wang, K., Zhang, Q. and Zhang, J. (2020). Trajectory planning of a redundant planar manipulator based on joint classification and particle swarm optimization algorithm, Multibody System Dynamic 50(4): 25–43.10.1007/s11044-019-09720-1
]Search in Google Scholar
[
Zhang, S., Zanchettin, A.M., Villa, R. and and Dai, S. (2020). Real-time trajectory planning based on joint-decoupled optimization in human-robot interaction, Mechanism and Machine Theory 144, Paper no. 103664, DOI: 10.1016/j.mechmachtheory.2019.103664.10.1016/j.mechmachtheory.2019.103664
]Search in Google Scholar
