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Proceedings Papers

Integration of EMG-Based Learning and Sliding Mode Control for an Exoskeleton Assist-as-Needed Support System

Pablo Delgado, Nathan Gonzalez, Yimesker Yihun
Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A034, August 14–17, 2022
Paper No: DETC2022-91305
https://doi.org/10.1115/DETC2022-91305
View Paper titled, Integration of EMG-Based Learning and Sliding Mode Control for an Exoskeleton Assist-as-Needed Support System
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Topics: Electromyography, Exoskeleton devices, Sliding mode control, Muscle, Signals, Torque, Algorithms, Degrees of freedom, Dynamics (Mechanics), Engineering simulation
Proceedings Papers

On the Computation of the Average of Spatial Displacements

Qiaode Jeffrey Ge, Zihan Yu, Mona Arbab, Mark Langer
Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A078, August 14–17, 2022
Paper No: DETC2022-90156
https://doi.org/10.1115/DETC2022-90156
View Paper titled, On the Computation of the Average of Spatial Displacements
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Topics: Algorithms, Biomechanics, Biomedical imaging, Computation, Displacement, Eigenvalues, Errors, Kinematics, Performance, Separation (Technology)
Proceedings Papers

Numerical Identification of Freedom Spaces Using the Canonical Basis

Nigel Archer, Jonathan Hopkins
Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A076, August 14–17, 2022
Paper No: DETC2022-89822
https://doi.org/10.1115/DETC2022-89822
View Paper titled, Numerical Identification of Freedom Spaces Using the Canonical Basis
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Topics: Compliant mechanisms, Screws, Space, Algorithms, Analytical methods, Degrees of freedom, Design, Topology
Proceedings Papers

Task Modification Scheme for a Collaborative Robot

Hardeep Singh, Rajesh Kumar, Subir Kumar Saha
Proc. ASME. IDETC-CIE2022, Volume 7: 46th Mechanisms and Robotics Conference (MR), V007T07A075, August 14–17, 2022
Paper No: DETC2022-89720
https://doi.org/10.1115/DETC2022-89720
View Paper titled, Task Modification Scheme for a Collaborative Robot
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Topics: Robots, Sliding mode control, Algorithms, Control equipment, End effectors, Human dynamics, Ignorance, Trajectories (Physics), Dynamics (Mechanics), Inertia (Mechanics)
Proceedings Papers

LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design

Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A013, August 14–17, 2022
Paper No: DETC2022-89798
https://doi.org/10.1115/DETC2022-89798
View Paper titled, LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design
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Topics: Design, Kinematics, Linkages, Simulation, Databases, Algorithms, Degrees of freedom, Screw threads, Shapes, Thread
Proceedings Papers

Latent Variable Representations for Interactive Structural Design Exploration

Sofia Valdez, Nicholas Rodriguez, Carolyn Seepersad
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A051, August 14–17, 2022
Paper No: DETC2022-91076
https://doi.org/10.1115/DETC2022-91076
View Paper titled, Latent Variable Representations for Interactive Structural Design Exploration
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Topics: Structural design, Design, Algorithms, Optimization, Topology, Additive manufacturing, Space
Proceedings Papers

Toward Formal Qualitative Reasoning to Support Functional Decomposition

Xiaoyang Mao, Chiradeep Sen
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A046, August 14–17, 2022
Paper No: DETC2022-89940
https://doi.org/10.1115/DETC2022-89940
View Paper titled, Toward Formal Qualitative Reasoning to Support Functional Decomposition
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Topics: Algorithms, Design, Flow (Dynamics), Formal methods, Heating, Natural language processing, Physics, Systems engineering, Topology
Proceedings Papers

Analytic Velocity Obstacle for Efficient Collision Avoidance

Zhimin Xi, Elnaz Asghari Torkamani
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A042, August 14–17, 2022
Paper No: DETC2022-89615
https://doi.org/10.1115/DETC2022-89615
View Paper titled, Analytic Velocity Obstacle for Efficient Collision Avoidance
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Topics: Collisions (Physics), Optimization, Computation, Algorithms, Navigation, Cycles, Linear programming, Path planning
Proceedings Papers

Customer Journey Mapping Using Stochastic Models

Yiqing Ding, Erin F. MacDonald
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A015, August 14–17, 2022
Paper No: DETC2022-90000
https://doi.org/10.1115/DETC2022-90000
View Paper titled, Customer Journey Mapping Using Stochastic Models
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Topics: Algorithms, Chain, Data collection, Design
Proceedings Papers

Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods

Shai Bernard, Jun Wang, Mark Fuge
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A004, August 14–17, 2022
Paper No: DETC2022-90065
https://doi.org/10.1115/DETC2022-90065
View Paper titled, Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods
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Topics: Design methodology, Errors, Optimization, Topology, Algorithms, Design, Geometry, Heat sinks, Machinery, Sensitivity analysis
Proceedings Papers

Deep Ensembles for Modeling Uncertain Phase Constraints In Compositionally Graded Alloy Design

Marshall Allen, Raymundo Arroyave, Richard Malak
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A028, August 14–17, 2022
Paper No: DETC2022-89091
https://doi.org/10.1115/DETC2022-89091
View Paper titled, Deep Ensembles for Modeling Uncertain Phase Constraints In Compositionally Graded Alloy Design
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Topics: Alloys, Design, Modeling, Artificial neural networks, Manufacturing, Metals, Probability, Algorithms, Engineering simulation, Functionally graded materials
Proceedings Papers

Collision-Free Dynamic Window Approach for Moving Obstacles

Zhimin Xi
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A037, August 14–17, 2022
Paper No: DETC2022-89613
https://doi.org/10.1115/DETC2022-89613
View Paper titled, Collision-Free Dynamic Window Approach for Moving Obstacles
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Topics: Collisions (Physics), Trajectories (Physics), Mechanical admittance, Navigation, Algorithms, Cycles, Design
Proceedings Papers

Application of Transfer Learning in Metalworking Fluid Distinction

Xiao Wei, Fabian Jochmann, Anna Lena Demmerling, Dirk Söffker
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A003, August 14–17, 2022
Paper No: DETC2022-89452
https://doi.org/10.1115/DETC2022-89452
View Paper titled, Application of Transfer Learning in Metalworking Fluid Distinction
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Topics: Acoustic emissions, Algorithms, Artificial neural networks, Data mining, Fluids, Metalworking, Signals, Thread, Water, Condition monitoring
Proceedings Papers

An Algorithm for Multi-Objective Efficient Parametric Optimization

Jonathan M. Weaver-Rosen, Richard J. Malak, Jr.
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A024, August 14–17, 2022
Paper No: DETC2022-88567
https://doi.org/10.1115/DETC2022-88567
View Paper titled, An Algorithm for Multi-Objective Efficient Parametric Optimization
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Topics: Algorithms, Optimization, Engineering design, Optimization algorithms, Design
Proceedings Papers

Generalization of Manufacturability Algorithms for Fabricated Assemblies Based on Topology Optimization

Satchit Ramnath, Jami J. Shah, Duane Detwiler
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A015, August 14–17, 2022
Paper No: DETC2022-90110
https://doi.org/10.1115/DETC2022-90110
View Paper titled, Generalization of Manufacturability Algorithms for Fabricated Assemblies Based on Topology Optimization
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Topics: Algorithms, Manufacturing, Optimization, Topology
Proceedings Papers

Automated and Customized CAD Drawings by Utilizing Machine Learning Algorithms: A Case Study

Javier Villena Toro, Mehdi Tarkian
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A040, August 14–17, 2022
Paper No: DETC2022-88971
https://doi.org/10.1115/DETC2022-88971
View Paper titled, Automated and Customized CAD Drawings by Utilizing Machine Learning Algorithms: A Case Study
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Topics: Algorithms, Computer-aided design, Engineering drawings, Machine learning, Artificial neural networks, Computer software, Dimensions, Geometry, Personnel management, Trains
Proceedings Papers

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Lyle Regenwetter, Faez Ahmed
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A046, August 14–17, 2022
Paper No: DETC2022-91344
https://doi.org/10.1115/DETC2022-91344
View Paper titled, Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design
Open the PDF for Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design in another window
Topics: Design, Algorithms, Bicycles, Machine learning
Proceedings Papers

Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Noah J. Bagazinski, Faez Ahmed
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A036, August 14–17, 2022
Paper No: DETC2022-89797
https://doi.org/10.1115/DETC2022-89797
View Paper titled, Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach
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Topics: Optimization, Ships, Design, Packing (Shipments), Packings (Cushioning), Algorithms, Architects, Hull, Shapes, Stability
Proceedings Papers

Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A043, August 14–17, 2022
Paper No: DETC2022-89740
https://doi.org/10.1115/DETC2022-89740
View Paper titled, Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces
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Topics: Design, Space, Algorithms, Artificial intelligence, Boundary-value problems, Data-driven design, Design automation, Trusses (Building)
Proceedings Papers

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Zhuo Yang, Brandon Lane, Paul Witherell
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A070, August 14–17, 2022
Paper No: DETC2022-88313
https://doi.org/10.1115/DETC2022-88313
View Paper titled, Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods
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Topics: Additive manufacturing, Artificial neural networks, Lasers, Algorithms, Machine learning, Machinery, Manufacturing, Metals, Process control, Shapes