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 2021-08-01 to 2025-08-01.)
ArticleCitations
Assembly language design and development for reconfigurable flexible assembly line228
Multi-granularity service composition in industrial cloud robotics218
Iso-scallop tool path planning for triangular mesh surfaces in multi-axis machining176
A hybrid model in a nonlinear disturbance observer for improving compliance error compensation of robotic machining171
Robust variable admittance control for human–robot co-manipulation of objects with unknown load171
A novel collision detection method based on current residuals for robots without joint torque sensors: A case study on UR10 robot169
Elasto-geometrical calibration of a hybrid mobile robot considering gravity deformation and stiffness parameter errors169
Integration and calibration of an in situ robotic manufacturing system for high-precision machining of large-span spacecraft brackets with associated datum157
Out-of-order execution enabled deep reinforcement learning for dynamic additive manufacturing scheduling149
Assessment of ISO Standardisation to Identify an Industrial Robot's Base Frame149
Autonomous path generation for side-seal welding of composite plate billets based on binocular vision and lightweight network VGG16-UNet148
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing148
Sparse identification for ball-screw drives considering position-dependent dynamics and nonlinear friction135
Knowledge extraction for additive manufacturing process via named entity recognition with LLMs134
Fast scheduling of human-robot teams collaboration on synchronised production-logistics tasks in aircraft assembly126
Machining cycle time prediction: Data-driven modelling of machine tool feedrate behavior with neural networks124
A dual knowledge embedded hybrid model based on augmented data and improved loss function for tool wear monitoring121
Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer121
Dynamic scheduling method for integrated process planning and scheduling problem with machine fault120
A novel model-based welding trajectory planning method for identical structural workpieces109
Chatter prediction for parallel mirror milling of thin-walled parts by dual-robot collaborative machining system108
A learning-guided hybrid genetic algorithm and multi-neighborhood search for the integrated process planning and scheduling problem with reconfigurable manufacturing cells106
Iterative offline trajectory correction based on dynamic model for compensating robot-dependent errors in robotic machining103
A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints101
Model-based Big Data Analytics-as-a-Service framework in smart manufacturing: A case study97
Edge intelligence-driven digital twin of CNC system: Architecture and deployment96
Digital twin-driven manufacturing equipment development93
Kinematic calibration of a 3-PRRU parallel manipulator based on the complete, minimal and continuous error model93
A robot motion position and posture control method for freeform surface laser treatment based on NURBS interpolation91
Corrigendum to “Learning-based adaption of robotic friction models” [Robotics and Computer-Integrated Manufacturing Volume 89, October 2024]91
Enhancing compliant gripper performance: Exploiting electro-adhesion to increase lifting force over grasping force90
Optimised Learning from Demonstrations for Collaborative Robots90
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 line90
Prediction of pose-dependent modal properties and stability limits in robotic ball-end milling89
Robotic measurement system based on cooperative optical profiler integrating fringe projection with photometric stereo for highly reflective workpiece88
Adaptive remanufacturing for freeform surface parts based on linear laser scanner and robotic laser cladding87
UX assessment strategy to identify potential stressful conditions for workers86
A framework for human–robot collaboration enhanced by preference learning and ergonomics86
A two-step method for kinematic parameters calibration based on complete pose measurement—Verification on a heavy-duty robot84
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-ResNext83
A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops81
Uncertainty quantification and dynamic characteristics identification for predicting milling stability lobe based on surrogate model80
Editorial Board80
Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning80
Editorial Board79
Robotic grinding of complex surfaces with an internal structured compliant tool: Multi-performance optimization in confined spaces78
A corrective shared control architecture for human–robot collaborative polishing tasks77
A Physical-simulation synergy approach for high-uniformity robotic gluing77
Multi-objective grasp pose optimisation for robotic 3D pipe assembly manipulation75
Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression73
Efficient tool path planning method of ball-end milling for high quality manufacturing72
Mixed-integer programming model and hybrid driving algorithm for multi-product partial disassembly line balancing problem with multi-robot workstations71
Dynamic robot routing optimization: State–space decomposition for operations research-informed reinforcement learning68
Bionic digital brain realizing the digital twin-cutting process68
A milling test-based coordinate calibration approach for the dual-robot mirror milling system with a measurement module67
Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network66
Multi-objective coupling optimization of electrical cable intelligent production line driven by digital twin66
Tool wear state recognition based on feature selection method with whitening variational mode decomposition66
Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review65
Extending the motion planning framework—MoveIt with advanced manipulation functions for industrial applications65
A novel method based on deep reinforcement learning for machining process route planning64
Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications64
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