Titlebook: Cognitive Systems and Information Processing; 7th International Co Fuchun Sun,Angelo Cangelosi,Bin Fang Conference proceedings 2023 The Edi

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Context Change, Truth and Competence,per proposes a joint trajectory generation method for obstacle avoidance. Besides of the end-effector, our work plans a collision free trajectory for each joint in the narrow space. Considering the complexity of obstacle distribution, the presented method combines Dynamic Movement Primitive (DMP) wi

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Luisa Meroni,Andrea Gualmini,Stephen Crainnal vacuum suction has problems such as leakage. Dry adhesive technology has strong potential to replace existing techniques since it provides stable handling. To this end, this paper proposes a negative pressure-driven adhesion gripper based on an annular wedge-shaped microstructure. The deformable

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Basics of Content Representation,nt a miniature inchworm-gecko inspired robot (IGIR) which can achieve climbing and sensing adhesion state on different kinds of surface including flat and porous surfaces. Inspired by the inchworm’s locomotion and gecko’s adhesion mechanism, we conduct the overall system design of IGIR by using serv

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https://doi.org/10.1007/978-3-030-05618-6y. The main manifestations are tonic-spasmodic seizures in early infancy, accompanied by burst suppressive electroencephalogram (EEG) patterns and severe psychomotor disturbances, with structural brain lesions in some cases. Specific to EIEE syndrome, this paper presents a comprehensive analysis of

Ebct207

Simulation-Based UMTS e-Learning Software,. However, in analysis of task fMRI, incorporating prior information about paradigms would be useful to improve the power in detecting desired activations. In this paper, we incorporated the experimental paradigm information into canonical correlation analysis (CCA) model and proposed a temporal con

LIMIT

Lecture Notes in Computer Scienceork models in real-life applications. The challenge in this field is that modern neural network tends to produce overconfident predictions on OOD data, which work against the principles of OOD detection techniques. To overcome this challenge, we propose Butterworth Filter rectified Activations (BFAc

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