scholarly journals Real-time motion tracking of cognitive Baxter robot based on differential inverse kinematics

2021 ◽  
Vol 18 (3) ◽  
pp. 172988142110240
Author(s):  
Shaobo Li ◽  
Xingxing Zhang ◽  
Jing Yang ◽  
Qiang Bai ◽  
Jianjun Hu ◽  
...  
Keyword(s):  
Real Time ◽  
Inverse Kinematics ◽  
Motion Tracking ◽  
Control Method ◽  
Time Estimation ◽  
Automatic Target Recognition ◽  
The Real ◽  
Time Motion ◽  
Wide Range ◽  
Real Time Tracking

The tracking motion of the robot is realized based on a specific robot or relying on an expensive movement acquisition system. It has the problems of complex control procedures, lack of real-time performance, and difficulty in achieving secondary development. We propose a robot real-time tracking control method based on the control principle of differential inverse kinematics, which fuses the position and joint angle information of the robot’s actuators to realize the real-time estimation of the user’s movement during the tracking process. The motion coordinates of each joint of the robot are calculated and the coordinate conversion between man and machine is realized with the combination of the Kinect sensor and the robot operating system. We have demonstrated the robustness and accuracy of the tracking method through the real-time tracking experiment of the Baxter robot. Our research has a wide range of application value, such as automatic target recognition, demonstration teaching, and so on. It provides an important reference for the research in the field of cognitive robots.

scholarly journals Model-Based Real-Time Motion Tracking Using Dynamical Inverse Kinematics

Algorithms ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 266
Author(s):  
Lorenzo Rapetti ◽  
Yeshasvi Tirupachuri ◽  
Kourosh Darvish ◽  
Stefano Dafarra ◽  
Gabriele Nava ◽  
...  
Keyword(s):  
Real Time ◽  
Inverse Kinematics ◽  
Motion Tracking ◽  
Lyapunov Analysis ◽  
System Configuration ◽  
Method Performance ◽  
Model Based ◽  
Time Motion ◽  
Velocity Correction ◽  
Time Critical

This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented is model-based, it makes use of velocity correction and differential kinematics integration in order to compute the system configuration. The convergence of the model towards the measurements is proved using Lyapunov analysis. An experimental scenario, where the motion of a human subject is tracked in static and dynamic configurations, is used to validate the inverse kinematics method performance on human and humanoid models. Moreover, the method is tested on a human-humanoid retargeting scenario, verifying the usability of the computed solution in real-time robotics applications. Our approach is evaluated both in terms of accuracy and computational load, and compared to iterative optimization algorithms.

The Realization of Real-Time Motion Tracking Algorithm Based on FPGA

2014 ◽  
Vol 926-930 ◽  
pp. 3302-3305 ◽  
Author(s):  
Dong Ming Liu ◽  
Chao Liu ◽  
Hai Wei Mu
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Video Processing ◽  
Motion Tracking ◽  
Tracking Algorithm ◽  
Development System ◽  
The Real ◽  
Time Motion ◽  
Processing Platform

With the FPGA technology progressing, the speed, the internal multiplier and the internal RAM of the FPGA are increasing. Its internal resource can be allocated flexibility, and there is no limit on the pipeline stages, so it is more suitable for real-time video processing comparing with the previous DSP and PC. By this reason, the DE2 development system is selected as the real-time video processing platform, which has a core of the Cyclone II series FPGA, in which the calculation of LK-algorithm-based real-time optical flow is implemented. Finally, by the reasonable overall arrangement for the pipeline and the sub-pipeline, the system achieves the real-time video motion tracking for the 640×480 resolution 30 frames/s images.

Suppression of Vibration by Using Antiresonance Point of a Dynamic Vibration Absorber

2007 ◽  
Author(s):  
Hidetoshi Okaguchi ◽  
Hiroshi Yabuno
Keyword(s):  
Real Time ◽  
Natural Frequency ◽  
Control Method ◽  
Excitation Frequency ◽  
Time Estimation ◽  
Dynamic Vibration Absorber ◽  
Main System ◽  
Wide Range ◽  
Dynamic Absorber ◽  
And Control

The conventional passive dynamic absorber reduces the amplitude of the main system when the natural frequency of the absorber corresponds to the excitation frequency. The dynamic absorber produces two resonance peak. In this paper, we propose a control method of the semi-active dynamic absorber to reduce the amplitude of the main system to zero over the wide range of excitation frequency. The proposed controller has the system of real time estimation of excitation frequency by applying adaptive filter. When the excitation frequency varies, the frequency is estimated by the controller in real time and control signal is generated according to the estimated frequency. As a result, the natural frequency of the absorber is changed in real time and the amplitude of the main system is kept to zero over the wide range of excitation frequency. The performance of the proposed control method is experimentally discussed.

scholarly journals Joint structure for the real-time estimation and control of automotive dry clutch engagement

2018 ◽  
Vol 51 (15) ◽  
pp. 1062-1067 ◽  
Author(s):  
Mojtaba Sharifzadeh ◽  
Mario Pisaturo ◽  
Arash Farnam ◽  
Adolfo Senatore
Keyword(s):  
Real Time ◽  
Time Estimation ◽  
The Real ◽  
Joint Structure ◽  
Clutch Engagement ◽  
Real Time Estimation ◽  
Dry Clutch ◽  
Estimation And Control ◽  
And Control

Real-time motion tracking in image-guided oral implantology

2008 ◽  
Vol 4 (4) ◽  
pp. 339-347 ◽  
Author(s):  
Xiaojun Chen ◽  
Yanping Lin ◽  
Yiqun Wu ◽  
Chengtao Wang
Keyword(s):  
Real Time ◽  
Motion Tracking ◽  
Image Guided ◽  
Time Motion ◽  
Oral Implantology

An Efficient Smartphone Assisted Indoor Localization with Tracking Approach using Glowworm Swarm Optimization Algorithm

2021 ◽  
pp. 101-107
Author(s):  
Mohammad Alshehri ◽  
Keyword(s):  
Real Time ◽  
Indoor Localization ◽  
Initial Position ◽  
Swarm Optimization ◽  
The Real ◽  
Assisted Navigation ◽  
Glowworm Swarm Optimization ◽  
Tracking Process ◽  
Wide Range ◽  
Localization And Tracking

Presently, a precise localization and tracking process becomes significant to enable smartphone-assisted navigation to maximize accuracy in the real-time environment. Fingerprint-based localization is the commonly available model for accomplishing effective outcomes. With this motivation, this study focuses on designing efficient smartphone-assisted indoor localization and tracking models using the glowworm swarm optimization (ILT-GSO) algorithm. The ILT-GSO algorithm involves creating a GSO algorithm based on the light-emissive characteristics of glowworms to determine the location. In addition, the Kalman filter is applied to mitigate the estimation process and update the initial position of the glowworms. A wide range of experiments was carried out, and the results are investigated in terms of distinct evaluation metrics. The simulation outcome demonstrated considerable enhancement in the real-time environment and reduced the computational complexity. The ILT-GSO algorithm has resulted in an increased localization performance with minimal error over the recent techniques.

scholarly journals Electro-Hydraulic Proportional System Real Time Tracking Control Development Based on Pulse width Modulation Method

2021 ◽  
Vol 23 (4) ◽  
pp. B336-B345
Author(s):  
Ezz Eldin Ibrahim ◽  
Tarek Elnady ◽  
Mohamed Saffaa Hassan ◽  
Ibrahim Saleh
Keyword(s):  
Real Time ◽  
Tracking Control ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Control Method ◽  
Modulation Method ◽  
Constant Input ◽  
Transient Time ◽  
Linear Variable Displacement Transducer ◽  
Real Time Tracking

The presented work was directed to develop the dynamic performance of an electro-hydraulic proportional system (EHPS). A mathematical model of the EHPS is presented using electro- hydraulic proportional valve (EHPV) by Matlab-Simulink, which facilitates the simulation of the hydraulic behavior inside the main control unit. Experimental work is done and the closed loop system is designed using the linear variable displacement transducer sensor (LVDT). The controller of the system is an Arduino uno, which is considered as a processor of the system. The model is validated by the experimental system. The study also presents a real time tracking control method, based on pulse width modulation, by controlling the speed of the actuator to achieve the position tracking with minimum error and low transient time, by applying the constant input signal 50mm the transient time was 0.9 seconds and the error 1.8%.

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