Retracted: Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design
Applied Bionics and Biomechanics, 2023 Applied Bionics and Biomechanics
doaj +1 more source
A web-based augmented reality system for orthodontic biomechanics: perceived usability and acceptability among dental students. [PDF]
BMC Oral HealthLi X +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
Retracted: Research on the Implementation of Public Physical Education under the Network Environment
Applied Bionics and Biomechanics, 2023 Applied Bionics and Biomechanics
doaj +1 more source
Changes in Corneal Biomechanics and Epithelial Thickness in High Myopia Over -8.00D with/without Myopic Regression After Femtosecond Laser-Assisted in Situ Keratomileusis. [PDF]
Clin OphthalmolShao T +5 more
europepmc +1 more source
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
Advanced Robotics Research, EarlyView.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
Advances in glaucoma biomechanics from 2000 to 2024: a bibliometric study and visualization analysis. [PDF]
Front NeurosciWen T +6 more
europepmc +1 more source
Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source