Mechanical Systems

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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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Adapting neural operators for mechanics decisions under changing operating conditions
Sep 27, 2026Prashant K. Jha, Koffi Enakoutsa, Ian Galloway +1Neural Operators Magnetic Tunnel Junction
Department of Mechanical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA · Department of Mathematics, University of California, Los Angeles, Los Angeles, CA 90095, USA
Requirement-Bound Verified Commissioning: A Frozen Four-Billion-Parameter Local Model as a Candidate Generator under an External Acceptance Layer with Verification and Release Authority
Sep 24, 2026Mehmet IscanRelease Acceptance
PythaLab, Yıldız Technical University Istanbul, Turkey
Relative Contact Velocity-Controlled Hand-Object Mechanism for Dexterous Tool Manipulation
Sep 22, 2026Sunyu Wang, Jean Oh, Nancy S. PollardRobotic Hands Dexterous Manipulation
The authors are with the Robotics Institute at Carnegie Mellon University, Pittsburgh, USA.
Quantifying Mechanical Intelligence in Legged Robots with Information Theory
Sep 17, 2026Zach J. PattersonLegged Robots Soft Robotics
Mechanical and Aerospace Engineering, Case Western Reserve University
Port-Hamiltonian Koopman Operator Synthesis for Mechanical Systems
Sep 15, 2026Rajpal Singh, Aditya Singh, Jishnu KeshavanKoopman Operator Mechanical Systems
Department of Mechanical Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India
A Lagrangian View of Flow Matching
Aug 31, 2026Peyman MilanfarLatent Transport Generative Models
1Google
Robust Semi-passive Velocity Field Control with Boundedness Guarantees for Safe Interaction between Mechanical Systems and Physical Environment
Aug 31, 2026Van Trong Dang, Sumitaka Honji, Takahiro WadaActive Flow Control Passive
Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara 630-0192, Japan
CADEngBench: It Looks Like CAD, but Does It Work? Evaluating Parametric Design, Assembly Reasoning, and Physics Simulation
Aug 10, 2026Harmanjot Singh, Abhra Dubey, Jorge Alejandro Amador HerreraComputer-Aided Design Objects Image-To-Cad Generation
Mohamed Bin Zayed University of Artificial Intelligence · Abu Dhabi, UAE
Automated Terminal-to-Housing Assembly System for Flat Ribbon Cable Harness
Aug 7, 2026Eunkyu Choi, Joonho Seo, Seungmin Lee +1Wiring Assembly
Department of Mechanical Engineering, Sogang University, Seoul, South Korea
VIDP: Variable Impedance Diffusion Policy for Compliant Robot Manipulation from Diverse Demonstrations
Aug 6, 2026Hisham Khalil, Neil Fernandes, Thomas M. Kwok +2Impedance Control Robotic Manipulation Policies
Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada · Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada · School of Computer Science and the Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada
Harnessing disorder to decouple extension and shear in kirigami metamaterials
Jul 18, 2026Haomin Yu, Hanxun Jin, Mingxuan Bi +5Metamaterials Asymmetric Origami Bending
NSF Science and Technology Center for Engineering MechanoBiology, Washington University in St. Louis, St. Louis, Missouri, 63130, USA. · Department of Mechanical Engineering & Materials Science, Washington University in St. Louis, St. Louis, Missouri, 63130, USA. · Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, Ohio, 45221, USA. +2
Mechanical Analysis of Parachute Suspension Line Deployment with Binding Tapes Using PINN
Jul 14, 2026Xiang Zhao, Ronghui Quan, Yaqi Xiao +1Parametric Physics-Informed Neural Network Aerial Navigation
Department of Systems Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. · Beijing Institute of Space Mechanics and Electricity,Beijing, China.
Multiplication Beyond Groups: Stratified Fourier Mechanisms in Transformer Circuits
Jul 8, 2026Zitong Andrew Chen, Junaid Hasan, Akhil Srinivasan +2Fourier Small Models
1UW Math AI Lab, University of Washington.
CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces
Jul 5, 2026Yifan WangMetamaterials Mechanical Systems
Department of Mechanical Engineering, McGill University Montreal, QC, H3A 2T7, Canada
On Surrogate Modeling of Static Response of AM Short-Fiber Thermoplastics Using Graph Neural Networks
Jun 27, 2026Pharindra Pathak, Vipin Kumar, Trenton M. Ricks +2Porous Media Finite Element Method
Auburn University, Oakridge National Lab, NASA Glenn Research Center, Auburn University, Auburn University · Graduate Student, Department of Aerospace Engineering, Auburn University, Auburn, AL · Sr. R&D Staff Member, Manufacturing Science Division, ORNL, Knoxville, TN +3
Physics-Informed Discovery of Yield Functions in Plasticity via Convex Neural Representations
Jun 12, 2026Hyeonbin Moon, Donghyuk Cho, Jecheon Yu +2Finite Element Method Physics-Informed Learning
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea · School of Engineering, Deakin University, 75 Pigdons Road, Waurn Ponds, Victoria, 3216, Australia · KAIST InnoCORE PRISM-AI Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea +1
Event-driven dynamic trajectories reconstruction and measurement of mechanical parameters for fragments
Jun 8, 2026Haoyang Li, Banglei Guan, Muxi Zha +4Mechanical Systems
School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, China · College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China · College of Science, National University of Defense Technology, Changsha, Hunan 410073, China
Towards Estimating Normal and Shear Interface Pressures in Prosthetic Sockets via Least Squares and Mechanics Modeling
Jun 2, 2026Axel González Cornejo, Tianhao Yu, Chi Hwan Lee +1Ground Reaction Forces Abox Abduction Problem
LEIA: Learned Environment for Interactive Architected Materials
May 27, 2026Haiqian Yang, Yuan Cao, Markus J. BuehlerMaterials Porous Media
Unreasonable Labs · Mountain View, CA 94043, USA
Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems
May 19, 2026Julian Langschwert, Georg Schaefer, Jakob Rehrl +2System Identification Reinforcement Learning Control
Josef Ressel Centre for Intelligent and Secure Industrial Automation, Salzburg University of Applied Sciences, Salzburg, Austria · Paris Lodron University of Salzburg, Salzburg, Austria
Sensing Intelligence as a Trainable Metamaterial Property
May 13, 2026Kyungmi Na, Yifei Li, Xinyi Yang +1Metamaterials Collaborative Sensing
1Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology · Computer Science and Artiﬁcial Intelligence Laboratory, Massachusetts Institute of Technology
Combining Mechanical and Agentic Specification Inference for Move
May 11, 2026Wolfgang Grieskamp, Teng Zhang, Vineeth KashyapProgram Analysis Agentic Inference
Aptos Labs, Palo Alto, USA
YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts
May 6, 2026Zesen Wang, Zihao Wu, Yue Hu +2Fault Diagnosis Wireless Foundation Models
School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China
Autonomous Laparoscope Control through Unified Mechanics-Based Representation of Multimodal Intraoperative Information
May 6, 2026Xiaojian Li, Jin Fang, Yudong Shi +6Surgical Robots Contact Wrench Estimation
School of Management and the Key Laboratory of Process Optimization and Intelligent Decision-Making (Ministry of Education), Hefei University of Technology, Hefei 230009, China · Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongi University, Shanghai 200433, China · Department of Thoracic Surgery, Changhai Hospital, Shanghai 200433, China
Tensegrity crutches with compliance from a pre-stressed self-tensile module improve ground reaction force profiles, speed, effort, comfort, and perceived stability
May 4, 2026Jingxian Gu, Joanna Spyra, Andrew Walski +3Ground Reaction Forces Mechanical Systems
Department of Biomechanics, University of Nebraska Omaha, Omaha, NE, USA · Independent Researcher, Omaha, Nebraska · Department of Physical Medicine and Rehabilitation, University of Nebraska Medical Center, Omaha, NE, USA
Contact-Aware Planning and Control of Continuum Robots in Highly Constrained Environments
Apr 17, 2026Aedan Mangan, Kehan Long, Ki Myung Brian Lee +3Controllability Dynamic Environments
Department of Mechanical and Aerospace Engineering, University of California San Diego, San Diego, CA 92093, USA · SceniX Inc, New York, NY 10011, USA · Department of Electrical and Computer Engineering, University of California San Diego, San Diego, CA 92093, USA +1
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
Feb 19, 2026Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen +2Kolmogorov-Arnold Networks Mechanical Systems
Computational Mechanics in Medicine, Applied Medical Engineering, RWTH Aachen University Pauwelsstraße 20, 52074 Aachen, Germany · Institute for Continuum and Material Mechanics, Hamburg University of Technology Eißendorfer Straße 42, 21073 Hamburg, Germany · Institute of Applied Mechanics, University of Erlangen-Nuremberg Egerlandstrasse 5, 91058 Erlangen, Germany +1
Auditing Frozen-Encoder Anomaly Detection Across Mechanical Systems: Representation Provenance, Calibration, and Protocol Effects
Jan 16, 2026Jose Sánchez AndreuFrozen Encoder Anomaly Score
Independent Researcher, Murcia, Spain
Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle Accelerator
Sep 21, 2025Thorsten Hellert, Drew Bertwistle, Simon C. Leemann +2Mechanical Systems
Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA

Sep 27, 2026, cs.CEJ/K move · Enter open · S save

Adapting neural operators for mechanics decisions under changing operating conditions

Prashant K. Jha, Koffi Enakoutsa, Ian Galloway, Henry Anderson

Department of Mechanical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA · Department of Mathematics, University of California, Los Angeles, Los Angeles, CA 90095, USA

Neural Operators Magnetic Tunnel Junction Mechanical Systems Finite Element Method Nonlinear Dynamics Decisions+2

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Neural operators can accelerate repeated nonlinear mechanics calculations, but their accuracy can deteriorate as operating conditions move beyond the training range. This work studies whether high-fidelity solutions acquired during use can be reused to adapt a neural operator and improve subsequent mechanics-based command selection. Two hard-magnetic soft-material systems are simulated using high-fidelity finite-element (FE) models, providing reference solutions for evaluating surrogate predictions and selected commands. A neural operator predicts deformation from known material, loading, and magnetic-field inputs, while an empirical error estimator determines which predictions may be used for command selection. Selected FE evaluations supplement these predictions, and their complete loading paths are retained for periodic updates of the neural operator and estimator. In both examples, the fixed operator loses substantial accuracy when stiffness and loading move outside the training range. Updates using 16 acquired paths recover much of the lost accuracy while preserving accuracy in the nominal regime. Under the same FE evaluation budget, the updated operators also improve command selection, although the benefit varies with the operating condition. Error estimation is less consistent, with inaccurate predictions sometimes accepted and accurate predictions rejected. These results demonstrate that reusing high-fidelity loading paths can extend the useful operating range of a neural operator. However, improved forward accuracy alone does not guarantee reliable prediction acceptance, highlighting prediction-specific error assessment as a separate requirement for trustworthy decision making.

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