Titlebook: Interactive Collaborative Robotics; 9th International Co Andrey Ronzhin,Jesus Savage,Roman Meshcheryakov Conference proceedings 2024 The Ed

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Fish Image Classification Based on MobileNetV2 with Transfer Learning Technique for Robotic ApplicaMobileNetv2 with Transfer learning is applied. We used the MobileNetV2 network pre-trained by the ImageNet dataset as the base network and added the following layers to the base model and Softmax classifier, this new model is Adam optimized. This method finally achieved a classification accuracy of

expound

共同時(shí)代

Mutual Adaptation Model of Operator and Controlled Object in Ergatic Robotic System,ve to a suboptimal solution in the current situation, extremizing the given criterion of efficiency of system functioning. The paper provides an overview of work in the field of robot control and applications for robotic systems using neural networks.

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Algorithms for Planning Trajectory of a Modular Wheeled In-Pipe Robot,lytical 3D model is obtained which allows calculating the following movements: along the helical line trajectory (working mode of pipe inspection); dynamic change in the pitch of the helix; transition to movement along the circumference or along the pipe. The deviations of the trajectory of the driv

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Oleg Sumenkov,Taisia Medvedeva,Sergei Gusev,Leonid Fridmangating how ethnography is imagined and practiced in order to address what is going on, it is clear the views and versions of ethnography practitioners carry as part of their professional habitus, how ethnography is imagined to be, contributes significantly to beliefs about the prevalence of ethnogra

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