Results 221 to 230 of about 15,175 (257)

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Integrating finite element analysis and physics-informed neural networks for biomechanical modeling of the human lumbar spine. [PDF]

N Am Spine Soc J
Ahmadi M, Biswas D, Paul R, Lin M, Tang Y, Cheema TS, Engeberg ED, Hashemi J, Vrionis FD.   +8 more
europepmc   +1 more source

Asymmetry in Skipping Enhances Viability Against Control Input Noise

Advanced Robotics Research, EarlyView.
Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley   +1 more source

Analysis of pedestrian second crossing behavior based on physics-informed neural networks. [PDF]

Sci Rep
Guo Y, Zou H, Wei F, Li Q, Guo D, Pirov J.   +5 more
europepmc   +1 more source

PINNing cerebral blood flow: analysis of perfusion MRI in infants using physics-informed neural networks. [PDF]

Front Netw Physiol
Galazis C, Chiu CE, Arichi T, Bharath AA, Varela M.   +4 more
europepmc   +1 more source

A deep learning approach: physics-informed neural networks for solving a nonlinear telegraph equation with different boundary conditions. [PDF]

BMC Res Notes
Deresse AT, Bekela AS.
europepmc   +1 more source

Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks. [PDF]

Neural Netw
Qian Y, Zhu G, Zhang Z, Modepalli S, Zheng Y, Zheng X, Frydman G, Li H.   +7 more
europepmc   +1 more source

Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics-Informed Neural Networks. [PDF]

Small Methods
Wu W, Daneker M, Turner KT, Jolley MA, Lu L.   +4 more
europepmc   +1 more source

Physics-informed neural networks with hybrid Kolmogorov-Arnold network and augmented Lagrangian function for solving partial differential equations. [PDF]

Sci Rep
Zhang Z, Wang Q, Zhang Y, Shen T, Shen T, Zhang W.   +5 more
europepmc   +1 more source