A Soft Robotic Jellyfish with Decoupled Actuators for Agile 3D Locomotion
This study presents a soft robotic jellyfish featuring a functionally decoupled actuation architecture. By separating propulsion, steering, and vertical regulation into independent modules, the robot overcomes conventional coupled‐motion limitations. Utilizing a passive‐valve‐based differential drag strategy and lateral water jets, it achieves agile 3D
Zhuoheng Li +6 more
wiley +1 more source
Open-source platform for kinematic analysis of mouse forelimb movement. [PDF]
Berezhnoi D, Chehade HD, Chu HY.
europepmc +1 more source
Kinematic and force analysis of universal multiple differential mechanism of automatic gearboxes
V. V Voloshko +3 more
openalex +2 more sources
Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti +4 more
wiley +1 more source
A multimodal quad‐finger soft robotic hand (QDO hand) uses dual‐chamber straight–curved origami prismatic (SCOP) origami actuators. By coordinating positive and negative pressurization in the two chambers, each finger produces axial extension, contraction and bidirectional bending.
Qinlin Tan +6 more
wiley +1 more source
Correction to: Objective assessment of the effects of opicapone in Parkinson's disease through kinematic analysis. [PDF]
Bologna M +10 more
europepmc +1 more source
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley +1 more source
A new method called MiKneeSoTA to minimize knee soft-tissue artifacts in kinematic analysis. [PDF]
Einfeldt AK +5 more
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
X-Ray Fluoroscopy-Based Kinematic Analysis of Quadrupedal Locomotion in Slow and Fast Fatigue-Resistant Motor Neuron-Deleted Mice. [PDF]
Ono A +6 more
europepmc +1 more source

