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Proceedings Papers

Transfer Learning in Multi-Objective Generative Design of Metamaterials

Gabriel Apaza, Daniel Selva
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A006, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142346
https://doi.org/10.1115/DETC2024-142346
View Paper titled, Transfer Learning in Multi-Objective Generative Design of Metamaterials
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Topics: Generative design, Metamaterials, Design, Stiffness, Genetic algorithms, Optimization, Physics, Reinforcement learning
Proceedings Papers

Exploring CausalWorld: Enhancing Robotic Manipulation via Knowledge Transfer and Curriculum Learning

Xinrui Wang, Yan Jin
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A013, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143674
https://doi.org/10.1115/DETC2024-143674
View Paper titled, Exploring CausalWorld: Enhancing Robotic Manipulation via Knowledge Transfer and Curriculum Learning
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Topics: Knowledge transfer, Reinforcement learning, Robotics
Proceedings Papers

Towards Physically Talented Aerial Robots With Intelligent Swarm Behavior Thereof: an Efficient Co-Design Approach

Prajit KrisshnaKumar, Steve Paul, Hemanth Manjunatha, Mary Corra, Ehsan Esfahani, Souma Chowdhury
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A014, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-146399
https://doi.org/10.1115/DETC2024-146399
View Paper titled, Towards Physically Talented Aerial Robots With Intelligent Swarm Behavior Thereof: an Efficient Co-Design Approach
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Topics: Design, Reinforcement learning, Robots
Proceedings Papers

Developing Heuristics for Resource Allocation and Utilization in Systems Design: A Hierarchical Reinforcement Learning Approach

Vikranth S. Gadi, Zoe Szajnfarber, Jitesh H. Panchal
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A003, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143524
https://doi.org/10.1115/DETC2024-143524
View Paper titled, Developing Heuristics for Resource Allocation and Utilization in Systems Design: A Hierarchical Reinforcement Learning Approach
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Topics: Decision making, Design, Reinforcement learning, Resource allocation, Systems engineering
Proceedings Papers

Impact of Social Learning on Teamwork Efficiency in Learning-Based Self-Organized Systems

Bingling Huang, Hao Ji, Yan Jin
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A002, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143326
https://doi.org/10.1115/DETC2024-143326
View Paper titled, Impact of Social Learning on Teamwork Efficiency in Learning-Based Self-Organized Systems
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Topics: Collisions (Physics), Design, Energy efficiency, Engineering systems and industry applications, Failure, Manufacturing, Reinforcement learning, Teams, Trains
Proceedings Papers

Utilizing Reinforcement Learning to Improve Gait Training Performance and Development of Gravity-Compensating Control System for RoboREHAB Device

Jacob Anthony, Chad Ballard, Chung-Hyun Goh, Jacob Carr, Woohyoung Jeon
Proc. ASME. IDETC-CIE2024, Volume 7: 48th Mechanisms and Robotics Conference (MR), V007T07A030, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143328
https://doi.org/10.1115/DETC2024-143328
View Paper titled, Utilizing Reinforcement Learning to Improve Gait Training Performance and Development of Gravity-Compensating Control System for RoboREHAB Device
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Topics: Control systems, Gravity (Force), Reinforcement learning
Proceedings Papers

Roundabout Traffic: Simulation With Automated Vehicles, AI, 5G, Edge Computing and Human in the Loop

Giorgio Previati, Gianpiero Mastinu, Elena Campi, Massimiliano Gobbi, Lorenzo Uccello, Álvaro Varela Daniel, Antonino Albanese, Alessandro Roccasalva, Gabriele Santin, Massimiliano Luca, Bruno Lepri, Laura Ferrarotti, Nicola di Pietro
Proc. ASME. IDETC-CIE2023, Volume 1: 25th International Conference on Advanced Vehicle Technologies (AVT), V001T01A016, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116402
https://doi.org/10.1115/DETC2023-116402
View Paper titled, Roundabout Traffic: Simulation With Automated Vehicles, AI, 5G, Edge Computing and Human in the Loop
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Topics: Autonomous vehicles, Reinforcement learning, Simulation, Traffic, Traffic circles
Proceedings Papers

Safe Autonomous Vehicle Cooperative Cruise Control With Deep Reinforcement Learning

James Yang, Natnael M. Negash
Proc. ASME. IDETC-CIE2023, Volume 1: 25th International Conference on Advanced Vehicle Technologies (AVT), V001T01A015, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-113683
https://doi.org/10.1115/DETC2023-113683
View Paper titled, Safe Autonomous Vehicle Cooperative Cruise Control With Deep Reinforcement Learning
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Topics: Autonomous vehicles, Errors, Reinforcement learning
Proceedings Papers

Physics-Based Automated Data Preprocessing (ADP) for Machine Learning Applications

Saleh Valizadeh Sotubadi, Vinh Nguyen
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A087, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114624
https://doi.org/10.1115/DETC2023-114624
View Paper titled, Physics-Based Automated Data Preprocessing (ADP) for Machine Learning Applications
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Topics: Machine learning, Physics, Algorithms, Acoustics, Computer numerical control machine tools, Computers, Control equipment, Cutting, Machinery, Reinforcement learning
Proceedings Papers

A Two-Timescale Reinforcement Learning Approach for Control Co-Design Problems

Eddieb Sadat, Mostaan Lotfalian Saremi, Alparslan Emrah Bayrak
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A003, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116567
https://doi.org/10.1115/DETC2023-116567
View Paper titled, A Two-Timescale Reinforcement Learning Approach for Control Co-Design Problems
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Topics: Design, Reinforcement learning
Proceedings Papers

State-Space Characterization of Human Balance Through a Reinforcement Learning Based Muscle Controller

Kübra Akbaş, Xianlian Zhou
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A065, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114841
https://doi.org/10.1115/DETC2023-114841
View Paper titled, State-Space Characterization of Human Balance Through a Reinforcement Learning Based Muscle Controller
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Topics: Control equipment, Muscle, Musculoskeletal system, Reinforcement learning
Proceedings Papers

Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct

Mingfei Jiang, Zhenjun Ming, Chuanhao Li, Farrokh Mistree, Janet K. Allen
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A026, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116703
https://doi.org/10.1115/DETC2023-116703
View Paper titled, Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct
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Topics: Design, Reinforcement learning, Self-organization
Proceedings Papers

Selection of Inverse Kinematics Solution Type for Cooperative Robots and Singularity Avoidance Based on Reinforcement Learning

Daiki Kato, Naoki Maeda, Ayumu Takeuchi, Masataka Sekioka, Toshiki Hirogaki, Eiichi Aoyama
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A019, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114868
https://doi.org/10.1115/DETC2023-114868
View Paper titled, Selection of Inverse Kinematics Solution Type for Cooperative Robots and Singularity Avoidance Based on Reinforcement Learning
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Topics: Kinematics, Reinforcement learning, Robots, Manipulators, Artificial neural networks, Computer-aided engineering, End effectors, Numerical analysis, Robotics
Proceedings Papers

Transfer Reinforcement Learning: Feature Transferability in Ship Collision Avoidance

Xinrui Wang, Yan Jin
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A071, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116709
https://doi.org/10.1115/DETC2023-116709
View Paper titled, Transfer Reinforcement Learning: Feature Transferability in Ship Collision Avoidance
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Topics: Artificial intelligence, Collisions (Physics), Reinforcement learning, Ships
Proceedings Papers

Teaching AI to Design From Humans: a Comparison of Behavioral Cloning Architectures

Ghazal Bozorgmehry Boozarjomehry, Joseph Thekinen
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A070, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115280
https://doi.org/10.1115/DETC2023-115280
View Paper titled, Teaching AI to Design From Humans: a Comparison of Behavioral Cloning Architectures
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Topics: Architecture, Design, Teaching, Aircraft, Algorithms, Engineering design, Physics, Reinforcement learning, Robotics
Proceedings Papers

Knowledge Transfer in Self-Organizing Systems and Impact of Social Ability

Bingling Huang, Yan Jin
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A004, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116392
https://doi.org/10.1115/DETC2023-116392
View Paper titled, Knowledge Transfer in Self-Organizing Systems and Impact of Social Ability
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Topics: Knowledge transfer, Reinforcement learning, Self-organization
Proceedings Papers

Heuristics for Solver-Aware Systems Architecting (SASA): A Reinforcement Learning Approach

Vikranth S. Gadi, Taylan G. Topcu, Zoe Szajnfarber, Jitesh H. Panchal
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A001, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115030
https://doi.org/10.1115/DETC2023-115030
View Paper titled, Heuristics for Solver-Aware Systems Architecting (SASA): A Reinforcement Learning Approach
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Topics: Design, Reinforcement learning, Complex systems, Crowdsourcing, Decision making, Innovation, System architecture, Systems engineering
Proceedings Papers

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming

Fabian Dworschak, Christopher Sauer, Benjamin Schleich, Sandro Wartzack
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A001, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89073
https://doi.org/10.1115/DETC2022-89073
View Paper titled, Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming
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Topics: Design, Metalworking, Reinforcement learning, Genetic algorithms, Machine learning, Manufacturing, Pareto optimization, Probes
Proceedings Papers

Discovery of Customized Dispatching Rule for Single-Machine Production Scheduling Using Deep Reinforcement Learning

Ping Chong Chua, Seung Ki Moon, Yen Ting Ng, Huey Yuen Ng, Manel Lopez
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A072, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89829
https://doi.org/10.1115/DETC2022-89829
View Paper titled, Discovery of Customized Dispatching Rule for Single-Machine Production Scheduling Using Deep Reinforcement Learning
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Topics: Machinery, Modeling, Reinforcement learning
Proceedings Papers

Reinforcement Learning Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design

Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A030, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-87995
https://doi.org/10.1115/DETC2022-87995
View Paper titled, Reinforcement Learning Based Sequential Batch-Sampling for Bayesian Optimal Experimental Design
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Topics: Experimental design, Optimization, Reinforcement learning