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Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2023 / edited by Steffen Ihlenfeldt, Thorsten Schüppstuhl, Kirsten Tracht.
Springer Nature - Springer Nature Link Journals and eBooks - Fully Open Access Available online
View onlineSpringer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Language:
- English
- Subjects (All):
- Robotics.
- Automatic control.
- Automation.
- Machine learning.
- Robotic Engineering.
- Control, Robotics, Automation.
- Machine Learning.
- Local Subjects:
- Robotic Engineering.
- Control, Robotics, Automation.
- Robotics.
- Machine Learning.
- Physical Description:
- 1 online resource (VII, 318 p. 124 illus., 118 illus. in color.)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This open access book presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management levels. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquainted with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI).
- Contents:
- Latest Challenges in the Development of Scalable Assembly Systems for Fuel Cell Stacks
- Experimental investigation of the influence of different nozzle exit geometries on the depositing of strands in fused layer modeling
- Exploratory pilot study investigating effects of exoskeletons on movement patterns
- Robot based Assembly of Hydrogen Tube Fittings for large scale Electrolyzers
- Novel Concept for Micro Assembly of Optical Devices Using a Planar Motor System
- Development of a workflow for the aggregation and usage of data in Digital Twins of adaptable assembly systems
- Conception of a flexible modular method for automation recommendation on the basis of a potential based assembly process evaluation
- Framework for Parallelized Hybrid Strategies in CAD based Disassembly Sequence Planning
- Comparison of Global Path Planning Algorithms regarding Multi Mobile Robot Object Transport Requirements
- Material adapted Gripping and Handling of PEO based Cell Components for All Solid State Battery Cell Stacking
- Framework for automatically generating robot programs of multi heavy duty robot systems
- Analysis of surface properties for process-reliable handling with dry adhesive microstructures
- Highly modular postprocessing by robot kinematics in an additive subtractive manufacturing process for polymer components
- Dimensioning and structural optimization of components using a distributed simulation approach consisting of FEM and multiphysics
- Visualization of Forces and Torques for Robot Programming of In Contact Tasks
- A layered Pipeline for Natural Language Robot Programming with Control Structures
- Experimentable Digital Twins in the Loop
- Analysis of Point Set Registration Algorithms for Industrial Parts
- A new AI based approach for contextualization and prediction of human activities in industrial robot applications
- Cost modeling as decision support in early planning phases of agile assembly systems
- Towards myoelectric control for industrial exoskeletons
- Approach for Modeling and Monitoring Hazards towards Safety Digital twins for Robotic Applications
- Optimization Problems in Production and Planning Approaches and Limitations in View of Possible Quantum Superiority
- Development and Testing of an Elbow Exoskeleton Prototype with Pneumatic Actuation for Industrial Tasks
- Camera Based Calibration of a Flexible Reconfigurable Robotic System in Construction
- Inspection in high mix and high throughput handling with skeptical and incremental learning.
- ISBN:
- 3-031-74010-6
- OCLC:
- 1510660651
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