Robotics and Computer-Integrated Manufacturing

Papers
(The H4-Index of Robotics and Computer-Integrated Manufacturing is 61. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Assembly language design and development for reconfigurable flexible assembly line212
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing198
Multi-granularity service composition in industrial cloud robotics164
A learning-guided hybrid genetic algorithm and multi-neighborhood search for the integrated process planning and scheduling problem with reconfigurable manufacturing cells163
Assessment of ISO Standardisation to Identify an Industrial Robot's Base Frame159
A hybrid model in a nonlinear disturbance observer for improving compliance error compensation of robotic machining155
Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling147
Robust variable admittance control for human–robot co-manipulation of objects with unknown load142
Elasto-geometrical calibration of a hybrid mobile robot considering gravity deformation and stiffness parameter errors142
Machining cycle time prediction: Data-driven modelling of machine tool feedrate behavior with neural networks140
A novel collision detection method based on current residuals for robots without joint torque sensors: A case study on UR10 robot139
Chatter prediction for parallel mirror milling of thin-walled parts by dual-robot collaborative machining system129
Sparse identification for ball-screw drives considering position-dependent dynamics and nonlinear friction125
Knowledge extraction for additive manufacturing process via named entity recognition with LLMs123
A novel model-based welding trajectory planning method for identical structural workpieces120
A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring119
Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer118
Dynamic scheduling method for integrated process planning and scheduling problem with machine fault111
Fast scheduling of human-robot teams collaboration on synchronised production-logistics tasks in aircraft assembly106
Iso-scallop tool path planning for triangular mesh surfaces in multi-axis machining105
Kinematic calibration of a 3-PRRU parallel manipulator based on the complete, minimal and continuous error model102
Optimised Learning from Demonstrations for Collaborative Robots97
A two-step method for kinematic parameters calibration based on complete pose measurement—Verification on a heavy-duty robot94
Digital twin-driven manufacturing equipment development93
Adaptive remanufacturing for freeform surface parts based on linear laser scanner and robotic laser cladding89
UX assessment strategy to identify potential stressful conditions for workers87
Corrigendum to “Learning-based adaption of robotic friction models” [Robotics and Computer-Integrated Manufacturing Volume 89, October 2024]87
A robot motion position and posture control method for freeform surface laser treatment based on NURBS interpolation86
Enhancing compliant gripper performance: Exploiting electro-adhesion to increase lifting force over grasping force86
Robotic measurement system based on cooperative optical profiler integrating fringe projection with photometric stereo for highly reflective workpiece85
Edge intelligence-driven digital twin of CNC system: Architecture and deployment84
Assembly complexity and physiological response in human-robot collaboration: Insights from a preliminary experimental analysis84
Piecewise strategy and decoupling control method for high pose precision robotic peg-in-hole assembly83
Research on multi-signal milling tool wear prediction method based on GAF-ResNext82
ROS-Industrial based robotic cell for Industry 4.0: Eye-in-hand stereo camera and visual servoing for flexible, fast, and accurate picking and hooking in the production line82
A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops82
Model-based Big Data Analytics-as-a-Service framework in smart manufacturing: A case study82
A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints81
Prediction of pose-dependent modal properties and stability limits in robotic ball-end milling80
A framework for human–robot collaboration enhanced by preference learning and ergonomics79
Multi-objective grasp pose optimisation for robotic 3D pipe assembly manipulation79
Bionic digital brain realizing the digital twin-cutting process79
Editorial Board78
Editorial Board78
Efficient tool path planning method of ball-end milling for high quality manufacturing75
Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning75
A milling test-based coordinate calibration approach for the dual-robot mirror milling system with a measurement module73
Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression71
A corrective shared control architecture for human–robot collaborative polishing tasks71
Uncertainty quantification and dynamic characteristics identification for predicting milling stability lobe based on surrogate model70
Mixed-integer programming model and hybrid driving algorithm for multi-product partial disassembly line balancing problem with multi-robot workstations68
Multi-objective coupling optimization of electrical cable intelligent production line driven by digital twin67
Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network67
Dynamic robot routing optimization: State–space decomposition for operations research-informed reinforcement learning65
Modeling and optimization of implementation aspects in industrial robot coordination64
Tool wear state recognition based on feature selection method with whitening variational mode decomposition64
Extending the motion planning framework—MoveIt with advanced manipulation functions for industrial applications63
Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review63
A novel method based on deep reinforcement learning for machining process route planning61
Stackelberg model-based human-robot collaboration in removing screws for product remanufacturing61
Vector field-based curved layer slicing and path planning for multi-axis printing61
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