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Spherical robot plays an essential role in the field of mobile robot because of its unique shape and omni-directional mobility, especially in the application of planet detection. Although spherical robot has many advantages over leg robot, its obstacle climbing performance is still not satisfactory, that is exactly the motivation of this paper. The purpose of this paper is to propose a high-performance hopping mechanism for spherical robot, which can adapt to different terrain and effectively cross obstacles.

The hopping system uses torque spring as part of the energy storage mechanism, and converts the kinetic energy of rotation into elastic potential energy with a particularly designed turntable. Moreover, the track of the turntable, based on the Archimedes spiral principle, has the attributes of equidistance and equivelocity that enable better stability of energy storage process.

Experiments show that the proposed hopping mechanism can make a 250 g spherical robot jump up to 58 cm with the take-off angle of 60°. Finally, the influence of friction and take-off angle on the hopping height and distance of the robot is also analyzed, which provides a prior guidance for optimizing its jumping process.

This paper shows how to easily design a lightweight, compact and embedded spring hopping structure so that a spherical hopping robot with detection ability can be developed.

This study aims at developing a better understanding of the relationship between network embeddedness and incremental innovation capability and further examines the moderating effect of open innovation.

This paper adopts hierarchical regressions to validate the theoretical model and collect the patent data of the top 54 firm patentees in the smartphone industry as empirical sample. Using patent citation network data, this paper estimates the relationship between open innovation, network embeddedness and incremental innovation capability.

This paper empirically shows that structural embeddedness exerts a negative effect on incremental innovation capability, while relational embeddedness is positively related to incremental innovation capability. And open innovation strengthens the relationship between network embeddedness and incremental innovation capability.

This paper shifts the focus of the determinants of incremental innovation capability from internal factors to the external network features by exploring the linkage between network embeddedness and incremental innovation capability. A counterintuitive conclusion is that structural embeddedness shows a negative effect on firm's incremental innovation capability. Furthermore, in contrast to most previous studies, which only focus on the direct effect of open innovation on the firm's incremental innovation capability, our study examines the moderating effect of open innovation on the relationships between network embeddedness and incremental innovation capability. At last, the results provide practical guidance for firms to occupy the beneficial network positions and adopt appropriate open innovation strategies to improve their incremental innovation capability.

The present paper aims to identify factors and variables affecting designing and assimilating technology in knowledge-based centers and aerospace industries, to study their relations and, ultimately, to provide a model based on research data.

Structural equation modeling (SEM) using AMOS software was used to study the relations among latent variables. Initially, the right structure of devised measure is assured and, then, by introducing a concept called “invariance”, it is shown that the devised measure structure in both aerospace industries and knowledge-based centers measures the same traits. Finally, the relations among latent variables in both knowledge-based centers and aerospace industries are studied and compared through SEM.

Findings indicate that there is a significant and positive relationship between knowledge management and successful technology transfer effectiveness. Further relational and organizational capabilities as key factors and facilitators play a mediating role between knowledge management and technology transfer effectiveness.

According to the direct impact of knowledge management on successful technology transfer, it is appropriate that domestic managers in research centers and aerospace industries pay more attention to technology transfer and pave the ground for executing its processes and mechanisms.

In the model provided in the theoretical literature, the sequence of technology transfer is addressed more, while the capabilities of technology sender (university), technology receptor (industry), knowledge management and its influence role in technology transfer from university to industry are not considered.