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Model-free and model-based time-optimal control of a badminton robot

M. Liu, B. Depraetere, G. Pinte, I. Grondman, R. Babuska
2013 2013 9th Asian Control Conference (ASCC)  
In this research, time optimal control is considered for the hit motion of a badminton robot during a serve operation.  ...  Next to this model-free learning approach, a model-based optimization is also calculated numerically and the obtained control signals are applied to the robot.  ...  CONCLUSIONS AND OUTLOOK In this paper, time-optimal motion control is considered, and a model-free reinforcement learning technique is compared to a classical model-based technique.  ... 
doi:10.1109/ascc.2013.6606242 dblp:conf/ascc/LiuDPGB13 fatcat:f33ygorfqnc4lmxiazpn4kzcqm

Modeling of Badminton Intelligent Teaching System Based on Neural Network

Ping Wang
2021 Wireless Communications and Mobile Computing  
enthusiasm are about 20% higher than those of the control group, and the badminton intelligent teaching system based on neural network is better than the control group's traditional teaching methods.  ...  Based on what network, the satisfaction of badminton teaching can reach more than 90%. This student recognizes and accepts the teaching methods of intelligent teaching.  ...  One group uses traditional badminton teaching, and the other uses intelligent robot teaching based on neural network.  ... 
doi:10.1155/2021/9933285 doaj:562825051d9c44aa8c68dccb24898a51 fatcat:cstq6eg4szfo3lnhcrbywr4z3i

Optimized state feedback regulation of 3DOF helicopter system via extremum seeking

Rini Akmeliawati, Safanah M. Raafat
2013 2013 9th Asian Control Conference (ASCC)  
time-optimal control of a badminton robot Melody Liu; Bruno Depraetere*; Greg Pinte; Ivo Grondman; Robert Babuska 491 A New Approach to Map Joining for Depth- Augmented Visual SLAM Chien-Hung  ...  Dan Valentin Nicolae* Takagi-Sugeno Fuzzy Observer and Extended-Kalman Filter for Adaptive Payload Estimation Selami Beyhan*; Zsofia Lendek; Musa Alci; Robert Babuska 487 Model-free and model-based  ... 
doi:10.1109/ascc.2013.6606363 dblp:conf/ascc/AkmeliawatiR13 fatcat:l7enyvdgurhpdl6yetwsst3u7y

Motion Capture and Intelligent Correction Method of Badminton Movement Based on Machine Vision

Yibo Zhang, Jianjun Tang, Hui Huang, Sang-Bing Tsai
2021 Mobile Information Systems  
and motion control method, which can meet the real-time performance of moving target tracking.  ...  Therefore, it is very important to study the method of badminton movement capture and intelligent correction based on machine vision to provide safe and effective exercise plan for amateur badminton enthusiasts  ...  , and expected results. e framework can also help us determine the best candidate technology for the case study of a badminton coach. e study shows that the label-free technology based on consumer level  ... 
doi:10.1155/2021/3256924 fatcat:45iirwuwjna2rphi2fm5xhduy4

Design of a Golf Putting Pneumatic Mechanism Integer vs Fractional Order PID [chapter]

Micael S., Carlos M., Gonalo Dias, Sara M., Nuno M. F. Ferreir
2012 PID Controller Design Approaches - Theory, Tuning and Application to Frontier Areas  
Sport devices Similarly to tennis, badminton requires a high level of footwork and speed.  ...  The PSO was developed by Kennedy and Eberhart (Kennedy & Eberhard, 1995) . This optimization technique, based on a population research, is inspired by the social behavior of birds.  ... 
doi:10.5772/32644 fatcat:ilsv4w4tgzflfbuspvxkt4xav4

2019 Index IEEE Robotics and Automation Letters Vol. 4

2019 IEEE Robotics and Automation Letters  
., +, LRA July 2019 2950-2957 Force control A Model-Free Extremum-Seeking Approach to Autonomous Excavator Control Based on Output Power Maximization.  ...  ., +, LRA Oct. 2019 4452-4458 Bayesian Optimization for Whole-Body Control of High-Degree-of-Free- dom Robots Through Reduction of Dimensionality.  ...  Permanent magnets Adaptive Dynamic Control for Magnetically Actuated Medical Robots.  ... 
doi:10.1109/lra.2019.2955867 fatcat:ckastwefh5chhamsravandtnx4

Author Index

2019 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)  
Proposal of Extracting Pulse Wave During Driving a Car Based on Frequency Domain BSS Takuya Matsumoto 96 Investigation on Distributed Joint Optimization of User Association and ICiC Based on PF Criteria  ...  Model based on Deep Learning Method Shih-Huan Tseng 174 Robot Knows Where Human Are Through Sensory Data Fusion Chien-Cheng Tseng 312 A Supervised Learning Method for the Design of Linear Phase FIR Digital  ...  Chang-Rong Wu A Continuous Facial Expression Recognition Model based on Deep Learning Method Chao-Ming Wu A Continuous Facial Expression Recognition Model based on Deep Learning Method Zheng-Lin  ... 
doi:10.1109/ispacs48206.2019.8986344 fatcat:tyfkzg6wt5fr3m3ngmh2vdxsea

A computationally efficient algorithm for state-to-state quadrocopter trajectory generation and feasibility verification

Mark W. Mueller, Markus Hehn, Raffaello D'Andrea
2013 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems  
The trajectory generator is used in a model predictive control like strategy, where thousands of trajectories are generated and evaluated at every controller update step, with the first input of the optimal  ...  These trajectories are from arbitrary initial states to final states defined by the vehicle position, velocity and acceleration with a specified end of time.  ...  ACKNOWLEDGEMENT The Flying Machine Arena is the result of contributions of many people, a full list of which can be found at http://www.idsc.ethz.ch/ Research DAndrea/FMA/participants.  ... 
doi:10.1109/iros.2013.6696852 dblp:conf/iros/MullerHD13 fatcat:4gcuewxu7nb7lhlfhofvnshwx4

Perspectives actuelles pour l'analyse, la simulation et la synthèse de mouvements sportifs

Floren Colloud
2012 Movement & sport sciences  
Currently, the theoretical and computational methods for this kind of modelling are mainly developed in robotics.  ...  the free surface severely disrupted as a result.  ... 
doi:10.1051/sm/2012001 fatcat:dlnhnenmsjhnfkae6743egqawe

Front Matter: Volume 9794

2015 Sixth International Conference on Electronics and Information Engineering  
using a Base 36 numbering system employing both numerals and letters.  ...  A unique citation identifier (CID) number is assigned to each article at the time of publication.  ...  (Invited Paper) [9794-155] 9794 1C Improve simulation accuracy of grey model by space transformation (Invited Paper) [9794-157] 9794 1D Modeling method of time sequence model based grey system  ... 
doi:10.1117/12.2229943 fatcat:jg6ltiwbu5galnafiox2geytay

Basketball Technology Simulation Application Based on Virtual Reality

Yushuai Song
2021 Mathematical Problems in Engineering  
There is 20% time in the takeoff phase and 6% time in the brake phase. It has a great influence on the results of the game.  ...  The test variables are based on different angles and distances.  ...  Simulation Application of Basketball Technology Based on Virtual Reality 2.1. 3D Modeling. e traditional method for 3D modeling of a real shape is based on a figure or a geometric plane view and is a simulation  ... 
doi:10.1155/2021/6657670 doaj:e640fa6090eb4590acd6b1cdc177932e fatcat:7aejww4pz5fcvnsndaovjzlgxq

Hidden Markov Model-Based Video Recognition for Sports

Zhiyuan Wang, Chongyuan Bi, Songhui You, Junjie Yao, Miaochao Chen
2021 Advances in Mathematical Physics  
By training and optimizing the model in an end-to-end manner, recognition accuracies of 92.7% and 64.4% are achieved on the dataset, respectively.  ...  The feature module is a complex gesture recognition module based on hidden Markov model gesture features, which applies the hidden Markov model features to gesture recognition and performs the recognition  ...  Conflicts of Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.1155/2021/5183088 fatcat:feduj7wokjb6dkx7zpbesfzglq

Slacklining: A narrative review on the origins, neuromechanical models and therapeutic use

Charles Philip Gabel, Bernard Guy, Hamid Reza Mokhtarinia, Markus Melloh
2021 World Journal of Orthopaedics  
This paper highlights the knowledge-gaps and sets a foundation for the required explanatory control mechanisms that evolve and expand a more detailed model of multi-dimensional slacklining and human functional  ...  Such a model facilitates a more complete understanding of existing performance and rehabilitation applications that opens the potential for future applications into broader areas of movement in diverse  ...  Ben Serrien for his invaluable input in the areas of physics, classical and quantum mechanics and assistance in manuscript editing. Without his input this article would not be  ... 
doi:10.5312/wjo.v12.i6.360 pmid:34189074 pmcid:PMC8223719 fatcat:feosos7n7nft5lvi2gd64xt2c4

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Alen Rajšp, Iztok Fister Fister
2020 Applied Sciences  
What was once simply training is now a combination of smart IoT sensors, cameras, algorithms, and systems just to achieve a new peak: The optimum one.  ...  Artificial intelligence, computational intelligence, data mining, the Internet of Things (IoT), and machine learning have had a profound effect on the way we do things.  ...  , weather, heart rate and distance. [103] PSO Presentation of an automatic framework for A Particle Swarm Optimization 0 0 1 2 modeling preference times, based on previous model was developed from which  ... 
doi:10.3390/app10093013 fatcat:mjdbbec6orb6rlk2zbgmzqjcfa

Temporal Evolution of Spatial Computations for Visuomotor Control

David W. Franklin, Alexandra Reichenbach, Sae Franklin, Jörn Diedrichsen
2016 Journal of Neuroscience  
The dominant view regarding the neural control of reaching is that the visuomotor system controls movement based on the difference vector-the difference between the positions of the hand and target.  ...  The classical view is that the brain extracts information about target and hand positions from a visual scene, calculates a difference vector between them, and uses this estimate to control the movement  ...  Time course of model fits based on velocity data on the trials in which subjects were free to move.  ... 
doi:10.1523/jneurosci.0052-15.2016 pmid:26911681 pmcid:PMC4764656 fatcat:woqcugne4rgwxh5plxgm4yuw7u
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