首页|Findings on Robotics Reported by Investigators at Shanghai Jiao Tong University (Real-time Interpolation With Low-pass Filtering for Five-axis Hybrid Machining Robots)
Findings on Robotics Reported by Investigators at Shanghai Jiao Tong University (Real-time Interpolation With Low-pass Filtering for Five-axis Hybrid Machining Robots)
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NETL
NSTL
Elsevier
Investigators publish new report on Robotics. According to news reporting originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "This paper proposes a new interpolation approach for five-axis hybrid robots to enhance the surface quality and efficiency of machining processes. Hybrid robots have the potential to manufacture large, complex structural parts with high flexibility and a favorable load-to-weight ratio." Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news editors obtained a quote from the research from Shanghai Jiao Tong University, "To interpolate G01 commands, the proposed method implements finite impulse response (FIR) filters rather than splines. These filters smoothly synchronize the motions of tool center points (TCPs) and tool orientation vectors (TOVs), and are designed for each linear segment online with geometric programming while considering joint constraints. Additionally, the adjacent linear segments are locally blended with bounded geometric errors under kinematic constraints. The proposed method generates time-optimal trajectories with jerk-limited joint motions in real-time, making it more effective than current interpolation methods."
ShanghaiPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsShanghai Jiao Tong University
NETL
NSTL
Elsevier
