Construction of driving cycle for passenger vehicles in Shenzhen

Abstract

We present SeeThruFinger, a soft robotic finger with an in-finger vision for multi-modal perception, including visual perception and tactile sensing, for geometrically adaptive and real-time reactive grasping. Multi-modal perception of intrinsic and extrinsic interactions is critical in building intelligent robots that learn. Instead of adding various sensors for different modalities, a preferred solution is to integrate them into one elegant and coherent design, which is a challenging task. This study leverages the Soft Polyhedral Network design as a robotic finger, capable of omni-directional adaptation with an unobstructed view of the finger's spatial deformation from the inside. By embedding a miniature camera underneath, we achieve the visual perception of the external environment by inpainting the finger mask using E2FGV, which can be used for object detection in the downstream tasks for grasping. After contacting the objects, we use real-time object segmentation algorithms, such as XMem, to track the soft finger's spatial deformations. We also learned a Supervised Variational Autoencoder to enable tactile sensing of 6D forces and torques for reactive grasp. As a result, we achieved multi-modal perception, including visual perception and tactile sensing, and soft, adaptive object grasping within a single vision-based soft finger design compatible with multi-fingered robotic grippers.

Ecological effect life cycle assessment of house buildings based on emergy footprint model

“…In 2020, the comprehensive utilization rate of construction waste in China reached 50% 35 . Different disposal methods of construction waste have different disposal costs and environmental impacts 36 . Therefore, the disposal cost of construction waste and the emission of environmental impacts can be calculated (Appendix Table 2 ).…”

Recent Advances in the Bioherbicidal Potential of Tenuazonic Acid, an Alternaria spp. mycotoxin

“…TeA bioherbicidal activity was described from an isolate of Alternaria alternata as a pathogen of the plant host Ageratina adenophora (reviewed in [22]). The phytopathogenic effect of this isolate was mainly attributed to a toxin known as A. alternata Crofton-Weed Toxin (AAC) [26,27]. TeA was structurally identified and purified and was determined to be the main active metabolite responsible for the biocontrol effect of AAC [28].…”

Bus Driving Cycle Construct Based on Principal Component Analysis for Lanzhou City

“…In [1], the typical road in Hefei is taken as an example to construct road driving cycle. In [2], the driving cycle of passenger cars of Shenzhen urban area is constructed by short travel analysis. In [3], the multi wavelet decomposition algorithm of discrete wavelet transform is used to reconstruct data to establish road driving condition in Hefei.…”