1,163 research outputs found
An Efficient Object Recognition System For Humanoid Robot Vision
[[abstract]]The research of autonomous robots is one of the most important issues in recent years. In the numerous robot researches, the humanoid robot soccer competition is very popular. The robot soccer players rely on their vision systems very heavily when they are in the unpredictable and dynamic environments. This paper proposes a simple and fast real-time object recognition system for the RoboCup soccer humanoid league rules ofthe 2009 competition. This vision system can help the robot to collect various environment information as the terminal data to finish the functions ofrobot localization, robot tactic, barrier avoiding,..., etc. It can decrease the computing efforts by using our proposed approach, Adaptive Resolution Method (ARM), to recognize the critical objects in the contest field by
object features which can be obtained easily. The experimental results indicate that the proposed approach can increase the real time and accurate recognition efficiency.[[sponsorship]]IEEE Taipei Section; National Science Council; Ministry of Education; Tamkang University; Asia University; Providence University; The University of Aizu; Lanzhou University[[conferencetype]]國際[[conferencetkucampus]]æ·¡æ°´æ ¡åœ’[[conferencedate]]20091203~20091205[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Tamsui, Taipei, Taiwa
5,5′-Bis[(2,2,2-trifluoroÂethÂoxy)methÂyl]-2,2′-bipyridine
The complete molecule of the title compound, C16H14F6N2O2, is generated by crystallographic inversion symmetry, which results in two short intramolecular C—H⋯N hydrogen-bond contacts per molecule. In the crystal, aromatic π–π stacking [centroid–centroid distance = 3.457 (2) Å] and weak C—H⋯π interÂactions occur. A short H⋯H [2.32 (3) Å] contact is present
An Adaptive Resolution Method Using Discrete Wavelet Transform for Humanoid Robot Vision System
Author Correction: Solution-processed hybrid perovskite photodetectors with high detectivity.
This Article contains an error in Equation 2 in that the denominator is inverted. This has not been fixed in the PDF or HTML versions of the Article but can be seen in the associated Correction
Adhesive L1CAM-Robo Signaling Aligns Growth Cone F-Actin Dynamics to Promote Axon-Dendrite Fasciculation in C. elegans
Neurite fasciculation through contact-dependent signaling is important for the wiring and function of the neuronal circuits. Here, we describe a type of axon-dendrite fasciculation in C. elegans, where proximal dendrites of the nociceptor PVD adhere to the axon of the ALA interneuron. This axon-dendrite fasciculation is mediated by a previously uncharacterized adhesive signaling by the ALA membrane signal SAX-7/L1CAM and the PVD receptor SAX-3/Robo but independent of Slit. L1CAM physically interacts with Robo and instructs dendrite adhesion in a Robo-dependent manner. Fasciculation mediated by L1CAM-Robo signaling aligns F-actin dynamics in the dendrite growth cone and facilitates dynamic growth cone behaviors for efficient dendrite guidance. Disruption of PVD dendrite fasciculation impairs nociceptive mechanosensation and rhythmicity in body curvature, suggesting that dendrite fasciculation governs the functions of mechanosensory circuits. Our work elucidates the molecular mechanisms by which adhesive axon-dendrite signaling shapes the construction and function of sensory neuronal circuits
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