A multi joint robot control system was designed based on the universal processor PC+DSP in order to overcome the short- comings of the control system in terms of flexibility, cost performance, and software transplanta...A multi joint robot control system was designed based on the universal processor PC+DSP in order to overcome the short- comings of the control system in terms of flexibility, cost performance, and software transplantation, which use Industrial Personal Computer for the upper monitor and MAC Motion control card for the lower computer. The design of multi joint robot control system is accomplished through hardware circuit design, VC++ programming and so on. Finally, six joint robot platform is used to test the control performance,The results show that the designed control system has the advantages of flexible fimction,easy expansion and easy porting of software.展开更多
Path planning for field agricultural robots must satisfy several criteria:establishing feeding routes,maintaining gentle slopes,approaching multiple livestock observation points,ensuring timely environmental monitorin...Path planning for field agricultural robots must satisfy several criteria:establishing feeding routes,maintaining gentle slopes,approaching multiple livestock observation points,ensuring timely environmental monitoring,and achieving high efficiency.The complex terrain of outdoor farming areas poses a challenge.Traditional A*algorithms,which generate only the shortest path,fail to meet these requirements and often produce paths that lack smoothness.Therefore,identifying the most suitable path,rather than merely the shortest one,is essential.This study introduced a path-planning algorithm tailored to field-based livestock farming environments,building upon the traditional A*algorithm.It constructed a digital elevation model,integrated an artificial potential field for evaluating multiple target points,calculated terrain slope,optimized the search neighborhood based on robot traversability,and employed Bézier curve segmentation for path optimization.This method segmented the path into multiple curves by evaluating the slopes of the lines connecting adjacent nodes,ensuring a smoother and more efficient route.The experimental results demonstrate its superiority to traditional A^(*),ensuring paths near multiple target points,significantly reducing the search space,and resulting in over 69.4%faster search speeds.Bézier curve segmentation delivers smoother paths conforming to robot trajectories.展开更多
CONSPECTUS:Nanoporous carbon(NPC)materials with various architectures have attracted considerable attention because of their distinctive properties and great application potential in environmental remediation,energy c...CONSPECTUS:Nanoporous carbon(NPC)materials with various architectures have attracted considerable attention because of their distinctive properties and great application potential in environmental remediation,energy conversion and storage,advanced sensors,and other applications.Traditional methods for the synthesis of NPCs,for example,the pyrolysis of natural products or polymers,template-assisted synthesis,and using deep-eutectic solvents,always involve toxic precursors and complex procedures,which greatly hinder further applications.Therefore,it is highly desirable to explore simple and feasible ways to prepare NPCs.Furthermore,to improve the performance and extend the application fields of NPCs,efficient strategies should be developed to regulate the components at the atomic level and construct multidimensional architectures.展开更多
文摘A multi joint robot control system was designed based on the universal processor PC+DSP in order to overcome the short- comings of the control system in terms of flexibility, cost performance, and software transplantation, which use Industrial Personal Computer for the upper monitor and MAC Motion control card for the lower computer. The design of multi joint robot control system is accomplished through hardware circuit design, VC++ programming and so on. Finally, six joint robot platform is used to test the control performance,The results show that the designed control system has the advantages of flexible fimction,easy expansion and easy porting of software.
基金supported by the Subject construction projects in specific universities(Grant No.2023B10564003)the Science and Technology Rural Commissioner Project of Guangzhou(Grant No.20212100026).
文摘Path planning for field agricultural robots must satisfy several criteria:establishing feeding routes,maintaining gentle slopes,approaching multiple livestock observation points,ensuring timely environmental monitoring,and achieving high efficiency.The complex terrain of outdoor farming areas poses a challenge.Traditional A*algorithms,which generate only the shortest path,fail to meet these requirements and often produce paths that lack smoothness.Therefore,identifying the most suitable path,rather than merely the shortest one,is essential.This study introduced a path-planning algorithm tailored to field-based livestock farming environments,building upon the traditional A*algorithm.It constructed a digital elevation model,integrated an artificial potential field for evaluating multiple target points,calculated terrain slope,optimized the search neighborhood based on robot traversability,and employed Bézier curve segmentation for path optimization.This method segmented the path into multiple curves by evaluating the slopes of the lines connecting adjacent nodes,ensuring a smoother and more efficient route.The experimental results demonstrate its superiority to traditional A^(*),ensuring paths near multiple target points,significantly reducing the search space,and resulting in over 69.4%faster search speeds.Bézier curve segmentation delivers smoother paths conforming to robot trajectories.
基金This work was financially supported by the National Key Research and Development Program of China(no.2019YFC0408302)the National Natural Science Foundation of China(no.51878352)+4 种基金the JST-ERATO Yamauchi Materials Space-Tectonics Project(JPMJER2003)C.W.acknowledges the support of the Initiative Postdocs Supporting Program(BX20200167)the China Postdoctoral Science Foundation(no.2020M680070)This work was also performed in part at the Queensland node of the Australian National Fabrication Facility(ANFF-Q)a company established under the National Collaborative Research Infrastructure Strategy to provide nano-and microfabrication facilities for Australian researchers.
文摘CONSPECTUS:Nanoporous carbon(NPC)materials with various architectures have attracted considerable attention because of their distinctive properties and great application potential in environmental remediation,energy conversion and storage,advanced sensors,and other applications.Traditional methods for the synthesis of NPCs,for example,the pyrolysis of natural products or polymers,template-assisted synthesis,and using deep-eutectic solvents,always involve toxic precursors and complex procedures,which greatly hinder further applications.Therefore,it is highly desirable to explore simple and feasible ways to prepare NPCs.Furthermore,to improve the performance and extend the application fields of NPCs,efficient strategies should be developed to regulate the components at the atomic level and construct multidimensional architectures.