Force control approaches research for robotic machining based on particle swarm optimization and adaptive iteration algorithms

Research article (Industrial Robot the international journal of robotics research and application, 2017) · cited 17× · AI/ML
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Force control approaches research for robotic machining based on particle swarm optimization and adaptive iteration algorithms

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Force control approaches research for robotic machining based on particle swarm optimization and adaptive iteration algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Force control approaches research for robotic machining based on particle swarm optimization and adaptive iteration algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/force-control-approaches-research-for-robotic-machining-based-on-particle-swarm-optimization-and-adaptive-iteration-algo
MLA “Force control approaches research for robotic machining based on particle swarm optimization and adaptive iteration algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/force-control-approaches-research-for-robotic-machining-based-on-particle-swarm-optimization-and-adaptive-iteration-algo.
BibTeX @misc{4ortxyz_force-control-approaches-research-for-robotic-machining-based-on-particle-swarm-optimization-and-adaptive-iteration-algo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Force control approaches research for robotic machining based on particle swarm optimization and adaptive iteration algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/force-control-approaches-research-for-robotic-machining-based-on-particle-swarm-optimization-and-adaptive-iteration-algo}, note = {Accessed: 2026-05-24}}
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