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The results of obstacle avoidance path planning for the manipulator using artificial potential field (APF) method contain a large number of path nodes, which reduce the efficiency of manipulators. This paper aims to propose a new intelligent obstacle avoidance path planning method for picking robot to improve the efficiency of manipulators.

To improve the efficiency of the robot, this paper proposes a new intelligent obstacle avoidance path planning method for picking robot. In this method, we present a snake-tongue algorithm based on slope-type potential field and combine the snake-tongue algorithm with genetic algorithm (GA) and reinforcement learning (RL) to reduce the path length and the number of path nodes in the path planning results.

Simulation experiments were conducted with tomato string picking manipulator. The results showed that the path length is reduced from 4.1 to 2.979 m, the number of nodes is reduced from 31 to 3 and the working time of the robot is reduced from 87.35 to 37.12 s, after APF method combined with GA and RL.

This paper proposes a new improved method of APF, and combines it with GA and RL. The experimental results show that the new intelligent obstacle avoidance path planning method proposed in this paper is beneficial to improve the efficiency of the robotic arm.

Figure 1 According to principles of bionics, we propose a new path search method, snake-tongue algorithm, based on a slope-type potential field. At the same time, we use genetic algorithm to strengthen the ability of the artificial potential field method for path searching, so that it can complete the path searching in a variety of complex obstacle distribution situations with shorter path searching results. Reinforcement learning is used to reduce the number of path nodes, which is good for improving the efficiency of robot work. The use of genetic algorithm and reinforcement learning lays the foundation for intelligent control.

The purpose of this paper is to examine the impacts of farmland renting-in on planted grain acreage.

A survey data of five counties were analyzed with the two-stage ordinary least squares model.

Households renting-in land trended to plant more maize, and the more land was rented by a household the more maize was planted, while wheat acreage showed non-response to farmland renting-in.

Overall, the analysis suggests that policy makers should be prepared for different changing trends of grain crop acreage across the nation as farmland transfer continues. Future research should pay attention to the effect of farmland transfer on agricultural productivity and rural household income growth.

As the Chinese Government is promoting larger-scale and more mechanized farms as a way of protecting grain security, it is important to understand whether farmland renting-in will reduce planted grain acreage. This study provides empirical evidence showing the answer to that question may differ across different regions and depend on the particular grain crop in question.

The social safety net of health care insurance is rapidly expanding in rural China. New Rural Cooperative Medical System (NRCMS) programs proliferated between the national decree of 2002 and 2008, moving from a situation where less than 10 per cent of the rural population had access to health insurance to one where over 80 per cent had the opportunity to participate in these programs. The purpose of this paper is to investigate how NRCMS affects equity goals in access to health care and explore the gender‐specific determinants for farmers to participate in NRCMS and use health care services.

Empirical analysis, by using the national rural socio‐economic survey data collected by the Centre for Chinese Agricultural Policy, Chinese Academy of Sciences in 2005. Based on Andersen's access to medical care model, the probit model for regression was used. All analyses are conducted with Stata 9.0 software.

Gender was found to have significant effects on both NRCMS participation and health care use. Age, education, deductible level and ceiling limits of reimbursement had positive effects on both NRCMS participation and health care use. The narrow coverage with high co‐payment compensation system asserted significant deterrence effects on equity access to health care. This is only a first step toward building an adequate health safety net for all rural residents, there is still a long way to go.

Using the national household survey data, this study is one of few studies focusing on the interplay between gender and the distinct determinants of access to health care under the ongoing NRCMS. The relevant findings have important implications for further policy design.

This study aims to introduce a compelling customer value score method (CVSM), which is applicable for different product categories, and elaborates customer values in three components (direct economic value, depth of direct economic value and breadth of the indirect economic value) throughout three stages of customer journey.

This study collected data from the Internet-shopping platforms, namely Taobao and T-Mall from 2019 to 2020 with particular focus on three product categories: lipstick (fast-moving consumer goods), mobile phones (durable goods) and alcohol (a hybrid of the other two product types) from 37 selected firms. The CVSM employs an entropy-based multiple criteria analysis, of which the weight of each indictor is not fixed artificially, but computed by the entropy-based method that calculates informative differences among the indicators (profit, revenue, positive reviews, search index and likes and favorites).

The result shows that product categories and market status have a moderation effect on three components in customer values. The findings suggested marketing strategies for different consumer goods, where the fast-moving consumer goods like lipstick should focus on the pre-purchase stage while the durable goods should emphasize post-purchase stage when the market is rapidly changing.

The study brings new insights to Kumar’s customer value theory by integrating product categories and the market status, revealing that three components of customer values differ in their contributions to the whole customer values. This paper further contributed managerial suggestions for marketers with regards to three stages of customer journey.