Results 111 to 120 of about 7,533 (288)
Design methodology and numerical validation of coaxial spherical parallel mechanisms
ObjectiveAiming at the problems of non-uniqueness of inverse kinematics solutions and significantly increased control difficulty caused by singular configurations of coaxial spherical parallel mechanisms, kinematic modeling, uniqueness determination of ...
LI Changyong +2 more
doaj
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
Kinematics and Trajectory Planning Analysis of 5-DOF Manipulator
Aiming at the designed 5-DOF manipulator,the forward kinematics model is established by using D-H method,and the closed expression of inverse kinematics is obtained by using the inverse transformation method and geometry method.
Liu Yawen +4 more
doaj
A Forward Closed-Form Position Solution, Kinematic Analysis And Implementation of a Translational 3-DOF Parallel Mechanism Formed by Constraining a Stewart Platform Structure [PDF]
Shin Dong-Min
openalex +1 more source
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source
Kinematics Analysis of Grasping Manipulator based on ART-RBF Learning Algorithm
In view of the difficulties encountered in the study of the kinematics inverse kinematics of grasping manipulator, a ART-RBF model based on soft competition mechanism is selected. On the basis of traditional RBF neural network, adaptive control generates
Kai Wang, XiaoJin Wan
doaj
Forward Kinematics Solution for Cable-Driven Hyper-Redundant Manipulators Based on BiLSTM [PDF]
Tianao Wang, Zhenghao Liang, Guolei Wang
openalex +1 more source

