Machine Learning-Based Fatigue Life Prediction for E36 Steel Welded Joints. [PDF]
Zhu L +5 more
europepmc +1 more source
A Comparative Investigation of Machine Learning Algorithms for Pore-Influenced Fatigue Life Prediction of Additively Manufactured Inconel 718 Based on a Small Dataset. [PDF]
Hu BL, Luo YW, Zhang B, Zhang GP.
europepmc +1 more source
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza +3 more
wiley +1 more source
Enhanced Chroma-YOLO Framework for Effective Defect Detection and Fatigue Life Prediction in 3D-Printed Polylactic Acid. [PDF]
Wang L, Liu Z, Lv T, Wang X, Qiu T.
europepmc +1 more source
Gaussian Process for Machine Learning-Based Fatigue Life Prediction Model under Multiaxial Stress-Strain Conditions. [PDF]
Karolczuk A, Skibicki D, Pejkowski Ł.
europepmc +1 more source
A Soft Robotic Device for Targeted Massage Therapy of Residual Limbs
Residual limb edema after amputation can hinder recovery and delay prosthetic fitting. This study presents a soft‐robotic wearable device that delivers sequential compression through pneumatic McKibben actuators. By replicating the principles of manual lymphatic drainage, the device generates controlled mechanotherapeutic pressure patterns, providing a
Maria Grazia Polizzotto +5 more
wiley +1 more source
Low Cycle Fatigue Life Prediction for Hydrogen-Charged HRB400 Steel Based on CPFEM. [PDF]
Zeng B, Wei XF, Tan JZ, Zhang KS.
europepmc +1 more source
Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness. [PDF]
Zhu X, Dong Z, Zhang Y, Cheng Z.
europepmc +1 more source
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Research on Fatigue Life Prediction Method of Spot-Welded Joints Based on Machine Learning. [PDF]
Li S, Zhan Z, Zou J, Wang Z.
europepmc +1 more source

