Numerical analysis of piezoelectric active repair in the presence of frictional contact conditions. [PDF]
Alaimo A +3 more
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Three-Dimensional PNP-FEM of a Layered IPMC Artificial Skin Under Finger-like Sliding for Robotic Tactile Interfaces. [PDF]
Sharif MA.
europepmc +1 more source
An efficient model for the frictional contact between two multiferroic bodies
Xin Zhang +5 more
semanticscholar +1 more source
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
Traceable stiffness calibration of colloidal AFM probes for biomechanical measurements. [PDF]
Li Z +4 more
europepmc +1 more source
Parameter and contact force estimation of planar rigid-bodies undergoing frictional contact
Nima Fazeli +3 more
semanticscholar +1 more source
This study presents a soft pneumatic fabric bidirectional actuation module (PNEUMA) capable of generating high torque in both bending directions within a single integrated architecture. PNEUMA achieves up to 50 Nm with reduced inflation volume and a lightweight design.
Odysseas Simatos +2 more
wiley +1 more source
Investigating various nonlinear vibration problems using VIBRANT: A tool based on Abaqus and Python. [PDF]
Tüfekci M, Sevencan F, Yurdakul O.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source

