2008
DOI: 10.1016/j.simpat.2007.12.002
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Design of a proposed neural network control system for trajectory controlling of walking robots

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Cited by 9 publications
(4 citation statements)
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“…(14) (15) It has been emphasized before that the safe landing of the UAV is a very important issue. For this The UAV can either land on a flat ground or land on a sloping ground by keeping its body straight, or it can land on a sloping ground with a certain angle of inclination of its body.…”
Section: Adaptive Landing Gear Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…(14) (15) It has been emphasized before that the safe landing of the UAV is a very important issue. For this The UAV can either land on a flat ground or land on a sloping ground by keeping its body straight, or it can land on a sloping ground with a certain angle of inclination of its body.…”
Section: Adaptive Landing Gear Systemmentioning
confidence: 99%
“…Luo et al [13] worked on a model in which a quadrotor drone had a four-piece landing gear attached to the vehicle for smoother landing. They claimed that they obtained satisfactory results from these landing gear controlled based on artificial neural networks [14,15]. Nadan et.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, an artificial Immune System Implementation upon Embryonic Machine for Hardware Fault-tolerant Industrial Control Applications has been studied and improved by Géza, Csaba, and Chindris (2010). The use of a proposed recurrent hybrid neural network to control of walking robot with four legs has been investigated by Yildirim (2008). In his investigation, a neural networks based control system has been utilized to the control of four-legged walking robot.…”
Section: Introductionmentioning
confidence: 99%
“…As discussed above, kinematics is a very important subject of investigation, many related researches [3][4][5][6] have been done for the kinetmatic analysis of the legged robots. In this paper, kinematic models of the swing leg and the stance leg will be constructed for workspace research.…”
Section: Introductionmentioning
confidence: 99%