Zhaoyang Chen, Kang Min, Xinyang Fan, Baoxu Tu, Fenglei Ni and Hong Liu
This paper aims to propose a real-time evolutionary multi-objective semi-analytical inverse kinematics (IK) algorithm (EMSA-IK) for solving the multi-objective IK of redundant…
Abstract
Purpose
This paper aims to propose a real-time evolutionary multi-objective semi-analytical inverse kinematics (IK) algorithm (EMSA-IK) for solving the multi-objective IK of redundant manipulators.
Design/methodology/approach
Within EMSA-IK, the parameterization method is applied to reduce the number of optimization variables of the evolutionary algorithm and calculate semi-analytical solutions that meet high target pose accuracy. The original evolutionary algorithm is improved with the proposed adaptive search sub-space strategy so that the improved evolutionary algorithm can be used to efficiently perform global search within the parametric joint space to obtain the global optimal parametric joint angles that satisfy multi-objective constraints.
Findings
Ablation experiments show the effectiveness of the improved strategy used for evolutionary algorithms. Comparative experiments on different manipulators demonstrate the advantages of EMSA-IK in terms of generalizability and balancing multiple objectives, for example, motion continuity, joint limits and obstacle avoidance. Real-world experiments further validate the effectiveness of the proposed algorithm for real-time application.
Originality/value
The semi-analytical IK solution that simultaneously satisfies high target pose accuracy and multi-objective constraints can be obtained in real time. Compared to existing semi-analytical IK algorithms, the proposed algorithm achieves obstacle avoidance for the first time. The proposed algorithm demonstrates superior generalizability, applicable to not only redundant manipulators with revolute joints but also those with prismatic joints.
Details
Keywords
Ridhima Goel, Jagdeep Singla, Amit Mittal and Meenal Arora
Work-from-home (WFH) has gained popularity over the past years. This study aims to conduct a bibliometric analysis to systematically review and synthesize scholarly literature on…
Abstract
Purpose
Work-from-home (WFH) has gained popularity over the past years. This study aims to conduct a bibliometric analysis to systematically review and synthesize scholarly literature on the complex interplay between WFH, employee well-being and performance.
Design/methodology/approach
The study incorporates analysis of the bibliometric including performance analysis, content analysis and scientific mapping that is applied to 497 Scopus papers. VOSviewer software was used to evaluate the data.
Findings
This study posits an imbalance between the count of documents and the citations earned by each author. International Journal of Environmental Research and Public Health was regarded as a leading journal with maximum citations and publications. The highest count of publications came from most Asian countries such as India, China, Indonesia and Japan. The investigation indicated that the writers with the maximum citations were predominantly the authors of the majorly cited papers. Further, the text mining through co-occurrence of keyword analysis generated five clusters and cocited references revealed three themes.
Practical implications
The current research might benefit both research groups as well as human resource professionals since it also reveals the research necessity and gaps in the WFH domain.
Originality/value
This research delves into unexplored facets of WFH beyond traditional studies over the past decade by examining remote work arrangements in today’s economy, revealing previously unnoticed dynamics affecting employee well-being and performance. This innovative viewpoint enhances the literature and provides an empirical foundation for strategic organizational decision-making and future study.