Robotics and Computer-Integrated Manufacturing

Papers
(The H4-Index of Robotics and Computer-Integrated Manufacturing is 64. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Assembly language design and development for reconfigurable flexible assembly line243
Multi-granularity service composition in industrial cloud robotics227
Integration and calibration of an in situ robotic manufacturing system for high-precision machining of large-span spacecraft brackets with associated datum185
Assessment of ISO Standardisation to Identify an Industrial Robot's Base Frame183
Iso-scallop tool path planning for triangular mesh surfaces in multi-axis machining179
A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring177
Sparse identification for ball-screw drives considering position-dependent dynamics and nonlinear friction174
Autonomous path generation for side-seal welding of composite plate billets based on binocular vision and lightweight network VGG16-UNet164
Dynamic scheduling method for integrated process planning and scheduling problem with machine fault158
Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer154
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing154
A novel model-based welding trajectory planning method for identical structural workpieces151
Robust variable admittance control for human–robot co-manipulation of objects with unknown load142
A learning-guided hybrid genetic algorithm and multi-neighborhood search for the integrated process planning and scheduling problem with reconfigurable manufacturing cells137
Elasto-geometrical calibration of a hybrid mobile robot considering gravity deformation and stiffness parameter errors129
Chatter prediction for parallel mirror milling of thin-walled parts by dual-robot collaborative machining system128
Knowledge extraction for additive manufacturing process via named entity recognition with LLMs125
A hybrid model in a nonlinear disturbance observer for improving compliance error compensation of robotic machining125
A novel collision detection method based on current residuals for robots without joint torque sensors: A case study on UR10 robot122
Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling122
Fast scheduling of human-robot teams collaboration on synchronised production-logistics tasks in aircraft assembly111
Machining cycle time prediction: Data-driven modelling of machine tool feedrate behavior with neural networks110
A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints109
Model-based Big Data Analytics-as-a-Service framework in smart manufacturing: A case study104
Kinematic calibration of a 3-PRRU parallel manipulator based on the complete, minimal and continuous error model101
Digital twin-driven manufacturing equipment development100
A two-step method for kinematic parameters calibration based on complete pose measurement—Verification on a heavy-duty robot96
Enhancing compliant gripper performance: Exploiting electro-adhesion to increase lifting force over grasping force95
A framework for human–robot collaboration enhanced by preference learning and ergonomics95
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 line95
Optimised Learning from Demonstrations for Collaborative Robots94
Prediction of pose-dependent modal properties and stability limits in robotic ball-end milling93
Robotic measurement system based on cooperative optical profiler integrating fringe projection with photometric stereo for highly reflective workpiece92
Piecewise strategy and decoupling control method for high pose precision robotic peg-in-hole assembly91
Adaptive remanufacturing for freeform surface parts based on linear laser scanner and robotic laser cladding90
Corrigendum to “Learning-based adaption of robotic friction models” [Robotics and Computer-Integrated Manufacturing Volume 89, October 2024]89
A robot motion position and posture control method for freeform surface laser treatment based on NURBS interpolation88
Assembly complexity and physiological response in human-robot collaboration: Insights from a preliminary experimental analysis88
Iterative offline trajectory correction based on dynamic model for compensating robot-dependent errors in robotic machining87
Edge intelligence-driven digital twin of CNC system: Architecture and deployment87
Research on multi-signal milling tool wear prediction method based on GAF-ResNext86
UX assessment strategy to identify potential stressful conditions for workers84
A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops84
Multi-objective grasp pose optimisation for robotic 3D pipe assembly manipulation84
Editorial Board83
Robotic grinding of complex surfaces with an internal structured compliant tool: Multi-performance optimization in confined spaces82
Editorial Board82
Efficient tool path planning method of ball-end milling for high quality manufacturing81
Bionic digital brain realizing the digital twin-cutting process80
A Physical-simulation synergy approach for high-uniformity robotic gluing79
Uncertainty quantification and dynamic characteristics identification for predicting milling stability lobe based on surrogate model78
Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning76
Tool wear state recognition based on feature selection method with whitening variational mode decomposition74
Multi-objective coupling optimization of electrical cable intelligent production line driven by digital twin73
A milling test-based coordinate calibration approach for the dual-robot mirror milling system with a measurement module71
Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression70
A corrective shared control architecture for human–robot collaborative polishing tasks70
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 learning67
Mixed-integer programming model and hybrid driving algorithm for multi-product partial disassembly line balancing problem with multi-robot workstations67
Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review66
A metrological device for robot identification65
MT-RSL: A multitasking-oriented robot skill learning framework based on continuous dynamic movement primitives for improving efficiency and quality in robot-based intelligent operation65
A novel method based on deep reinforcement learning for machining process route planning64
An online collision-free trajectory generation algorithm for human–robot collaboration64
Similar assembly state discriminator for reinforcement learning-based robotic connector assembly64
Improved genetic algorithm based on multi-layer encoding approach for integrated process planning and scheduling problem64
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