Results 201 to 210 of about 306,251 (301)

Human motion control using inverse kinematics

, 2003
ABSTRACT HUMAN MOTION CONTROL USING INVERSE KINEMATICS Aydemir MEMİŞO?LU M.S. in Computer Engineering Supervisors: Prof. Dr. Bülent Özgüç and Assist. Prof. Dr. Uğur Güdükbay August, 2003 Articulated figure animation receives particular attention of the computer graph ics society.
openaire   +2 more sources

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Lower body kinematic changes induced by anterior cruciate ligament transection: an <i>in vivo</i> three-dimensional analysis in rats. [PDF]

PeerJ
Nagai-Tanima M, Kawai H, Ishikawa A, Ishida K, Kuroki H, Aoyama T.   +5 more
europepmc   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Dopaminergic medication alters muscle synergy during sit-to-stand motion in Parkinson's disease. [PDF]

Front Neurol
Kikuchi K, Oyama G, Shimoda S, Hamada H, Aydin R, Kameyama Y, Sato K, Kitahara E, Kamiyama D, Yamashita A, Shimazu T, Fujiwara T, Hattori N, Qi A.   +13 more
europepmc   +1 more source

Patient‐Mounted Neuro Optical Coherence Tomography for Targeted Minimally Invasive Micro‐Resolution Volumetric Imaging in Brain In Vivo

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a patient‐mounted neuro optical coherence tomography system that integrates a 5 degrees‐of‐freedom skull‐mounted robot (Skullbot) with a 0.6 mm neuroendoscope for targeted, minimally invasive deep brain imaging, is developed. The system offers high‐resolution imaging with precise deployment, demonstrated through successful tumor imaging in a ...
Chao Xu, Zhiwei Fang, Huxin Gao, Tinghua Zhang, Tao Zhang, Peng Liu, Hongliang Ren, Wu Yuan   +7 more
wiley   +1 more source

Evaluation of the Ionospheric Corrections Generated by Smartphones with Different Real-Time Products. [PDF]

Sensors (Basel)
Zhang Y, Jiang Y, Gao Y.
europepmc   +1 more source

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Kelvin HoLam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande   +4 more
wiley   +1 more source