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Effect of Unmanned Aerial Vehicle Flight Height on Droplet Distribution, Drift and Control of Cotton Aphids and Spider Mites
Unmanned aerial vehicles (UAVs), as emerging plant protection machinery, have the advantages of high operational efficiency, high speed, and low drift. The current study aimed to elucidate theExpand
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Research on Relevance of Supply Chain and Industry Cluster
Supply chain and industry cluster are the two important ways to enhance the competitiveness of regions or industries. By discussing the differences and links between the two, this paper concludesExpand
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Learning push recovery for a bipedal humanoid robot with Dynamical Movement Primitives
TLDR
Maintaining the balance is always a challenge issue for bipedal humanoid robots in dealing with various locomotive tasks to serve human society, especially when the environment the robot worked within exhibits to be very complex. Expand
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The Happy Fish of the Disputers
The happy fish episode from the outer chapters of the Zhuangzi poses enormous difficulty for interpreters. While it may appear to surprisingly resemble the dialectic in Western philosophy, anyExpand
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Effects of Dosage and Spraying Volume on Cotton Defoliants Efficacy: A Case Study Based on Application of Unmanned Aerial Vehicles
Plant protection unmanned aerial vehicles (UAVs) consist of light and small UAVs with pesticide spraying equipment. The advantage of UAVs is using low-volume spray technology to replace theExpand
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Biped robot falling motion control with human-inspired active compliance
TLDR
We propose a tripod-like falling controller followed by a human-inspired active compliance strategy using joints' active flexion and torque increment to reduce the impact damage of the robot during a fall. Expand
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Comparison of Droplet Deposition Control Efficacy on Phytophthora capsica and Aphids in the Processing Pepper Field of the Unmanned Aerial Vehicle and Knapsack Sprayer
Processing pepper planting and processing have become an important red pillar industry in Xinjiang. With the continuous growth of processing pepper planting areas in Xinjiang, diseases and pests areExpand
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Modelling inter-task relations to transfer robot skills with three-way RBMs
TLDR
Transfer on Reinforcement Learning (RL) is a promising method on learning new skills and adapting new situations for humanoid robots as tasks or environments change. Expand
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A Cyclic Contrastive Divergence Learning Algorithm for High-Order RBMs
TLDR
A new algorithm named Cyclic Contrastive Divergence (CCD) is introduced for learning high-order RBMs. Expand
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AN EFFICIENT CLUSTERING METHOD FOR DBSCAN GEOGRAPHIC SPATIO-TEMPORAL LARGE DATA WITH IMPROVED PARAMETER OPTIMIZATION
TLDR
To solve the problem of misclassification and density sparsity caused by unreasonable parameter selection in DBSCAN clustering algorithm. Expand
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