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Article Citation - WoS: 5Citation - Scopus: 8Biological System Analysis in Bioinspired Conceptual Design (bicd) for Bioinspired Robots(Romanian Soc Control Tech informatics, 2011) Eroglu, Aylin Konez; Eroğlu, Aylin Konez; Erden, Zuhal; Erden, Zühal; Erden, Abdulkadir; Erden, Abdulkadir; Eroğlu, Aylin Konez; Erden, Zühal; Erden, Abdulkadir; Department of Mechatronics Engineering; Department of Mechatronics Engineering; Mechatronics Engineering; Mechatronics Engineering; Department of Mechatronics Engineering; Mechatronics EngineeringBioinspired design (BID) provides a systematic way for bioinspired applications. Although several BID approaches as well as some tools and databases are available in the literature, the studies on BID are still challenging for designers and/or engineers because of limitations of current BID approaches. There are mainly two directions related with these limitations. One of them is the representation of knowledge on biological systems and the second is the problem of transforming this knowledge into engineering domain. These limitations expose two questions; firstly, "What knowledge is required to describe biological systems?" and "How this knowledge is represented?" and secondly, "How this knowledge is transformed into the engineering domain?". This paper presents a study which aims to answer the first question about knowledge required to represent biological systems. This knowledge is obtained during "Analysis of Biological Systems" stage of a new suggested bioinspired conceptual design (BICD) procedure.Article Citation - WoS: 2Citation - Scopus: 4State-Based Conceptual Design in Mechatronics Via Petri Nets: a Case Study for an Educational Robot(Romanian Soc Control Tech informatics, 2011) Erden, Zuhal; Mechatronics EngineeringUse of state-based models to represent artifact behaviors at conceptual design is a challenging area for design research. Conceptual design of mechatronic systems needs a multi-domain approach in which the "logical behavior" of a mechatronic design artifact is described without any physical realization. This paper presents a case study on state-based representation for the intended behavior of a non-existent robot at early conceptual level. The behavior is defined through a demonstrative scenario and represented as states and state transitions independent of any physical embodiment. Discrete Event System Specification (DEVS) and Petri Net formalism are used for the model. This representational model is first step towards the development of a virtual prototype for the logical behavior of robot design.Article Citation - WoS: 4Citation - Scopus: 6A Test Bench To Study Bioinspired Control for Robot Walking(Romanian Soc Control Tech informatics, 2011) Arikan, Kutluk B.; Irfanoglu, Bulent; Department of Mechatronics EngineeringTest bench to study robot walking within the predicted structures of biological control systems is discussed. Physical system is briefly presented with components. Kinematic model and evolutionary way of gait generation for the leg structure in test bench is discussed. Different forms of gaits can be found by genetic optimization using patterns formed by central pattern generators.Article Citation - WoS: 1Citation - Scopus: 1Evaluation and Optimization of Nonlinear Central Pattern Generators for Robotic Locomotion(Romanian Soc Control Tech informatics, 2018) Elbori, Abdalftah; Turan, Mehmet; Arikan, Kutluk Bilge; Department of Mechatronics Engineering; MathematicsWith regard to the optimization of Central Pattern Generators (CPGs) for bipedal locomotion in robots, this paper investigates how the different cases of CPGs such as uncoupled, unidirectional, bidirectional two CPGs are used to produce rhythmic patterns for one leg with two degrees of freedom (DOF). This paper also discusses the stability analysis of CPGs and attempts to utilize genetic algorithms with the hybrid function and adapts the CPGs to robotic systems that perform one-leg movement, by utilizing the bidirectional two CPGs. The results show far greater improvement than in the other cases. CPGs not only enhance movement but also control locomotion without any sensory feedback.
