
APMS 2021
International Conference Advances in Production Management Systems
September 5-9, 2021 | Nantes, France
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
Session | ||
Robotics Technologies for Control, Smart Manufacturing and Logistics
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Presentations | ||
ID: 150
/ RTC: 1
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics Keywords: Unmanned Aerial Vehicles, Automatic Drones, Inspection, Virtual Simulation Automatic Drones for Factory Inspection: The Role of Virtual Simulation ETH Zurich, Switzerland ID: 196
/ RTC: 2
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics Keywords: Lie group, geometric error model, Sobol method, error sensitivity analysis Geometric error modeling and sensitivity analysis of a laser pipe-cutting system based on Lie group and Sobol method School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China ID: 109
/ RTC: 3
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics Keywords: Serial manipulator, Tensegrity mechanisms, Kinematic control, Redundancy resolution, Obstacle-avoidance Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment 1Laboratoire des Sciences du Numérique de Nantes(LS2N), UMR CNRS 6004, Nantes, France; 2IMT Atlantique Bretagne Pays de la Loire, Nantes, France; 3Centre National de la Recherche Scientifique (CNRS) , France ID: 559
/ RTC: 4
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics Keywords: Generation of tensegrity structures, Force density method, Convex optimization Seed-and-Prune Approach for Rapid Discovery of Tensegrity-like Structures of the Desired Shape Innopolis University, Russian Federation ID: 520
/ RTC: 5
Special track: Robotics Technologies for Control, Smart Manufacturing and Logistics Keywords: Deformation of a tensegrity structure, Supervised learning, Dataset generation Tensegrity Morphing: Machine Learning-based Tensegrity Deformation Predictor for Traversing Cluttered Environments Innopolis University, Russian Federation |
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