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2021 IEEE Transactions on Automation Science and Engineering  
Lin 1012 1049 1064 1074 1087 1097 1122 1134 An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory ........................  ...  Qi Soft Robotic Gripper Driven by Flexible Shafts for Simultaneous Grasping and In-Hand Cap Manipulation .......... .....................................................................................  ... 
doi:10.1109/tase.2021.3088567 fatcat:2rsy5dp2tbh4nmo6jk6ylozbci

Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey

Silvia Proia, Raffaele Carli, Graziana Cavone, Mariagrazia Dotoli
2021 IEEE Transactions on Automation Science and Engineering  
Johansson, collision detection and identification scheme by supervised learning “Joint stiction avoidance with null-space motion in real-time model and Bayesian  ...  diagnosor using supervised learning (see Fig. 5). and Bayesian decision theory (BDT).  ... 
doi:10.1109/tase.2021.3131011 fatcat:w7zm7vlqfnhzheanevg6x3toxm

Role of Machine Learning in WSN and VANETs

Maryam Gillani, Hafiz Adnan Niaz, Muhammad Tayyab
2021 International Journal of Electrical and Computer Engineering Research  
For such dynamicity, Machine learning (ML) approaches are considered favourable.  ...  Afterwards, ML based WSN and VANETs application, open issues, challenges of rapidly changing networks and various algorithms in relation to ML models and techniques are discussed.  ...  SVM is best suited for malicious behaviour detection in VANET system [25] . 2) Bayesian Based on simple probability theory, Bayes theorem is effective in Predicting traffic crash, possible collisions  ... 
doi:10.53375/ijecer.2021.24 fatcat:72mtbdb3uvaepj6efg7lfz6x6q

2019 Index IEEE Transactions on Industrial Informatics Vol. 15

2019 IEEE Transactions on Industrial Informatics  
., +, TII Feb. 2019 1211-1218 Programming by Demonstration Using the Teleimpedance Control Scheme: Verification by an sEMG-Controlled Ball-Trapping Robot.  ...  ., +, TII Feb. 2019 1211-1218 Programming by Demonstration Using the Teleimpedance Control Scheme: Verification by an sEMG-Controlled Ball-Trapping Robot.  ... 
doi:10.1109/tii.2020.2968165 fatcat:utk3ywxc6zgbdbfsys5f4otv7u

Nonparametric Bayesian Method for Robot Anomaly Monitoring [chapter]

Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
2020 Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection  
In this chapter, we introduce an anomaly monitoring pipeline using the Bayesian nonparametric hidden Markov models after the task representation and skill identification in previous chapter, which divided  ...  Those method are effectively implement the anomaly monitoring during robot manipulation task. We also evaluate and analyse the performance and results for each method, respectively.  ...  detect robotic collision anomalies and tactile sensing information that can directly sense objects.  ... 
doi:10.1007/978-981-15-6263-1_4 fatcat:l4qv4kjwy5e5djb2x42mfc3pgy

2021 Index IEEE Transactions on Automation Science and Engineering Vol. 18

2021 IEEE Transactions on Automation Science and Engineering  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages.  ...  ., +, TASE Jan. 2021 346-355 An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory.  ... 
doi:10.1109/tase.2021.3120615 fatcat:ybfn4kfdvjfipbty7z3mocjjci

2020 Index IEEE Transactions on Robotics Vol. 36

2020 IEEE Transactions on robotics  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages.  ...  Learning-Based Proxy Collision Detection for Robot Motion Planning Applications.  ... 
doi:10.1109/tro.2021.3050417 fatcat:gzwbyhjzhbdnrdp6prpokofstu

A Latent State-Based Multimodal Execution Monitor with Anomaly Detection and Classification for Robot Introspection

Hongmin Wu, Yisheng Guan, Juan Rojas
2019 Applied Sciences  
By equipping robots with abilities that allow them to assess the quality of their sensory data, robots can detect and classify anomalies and recover appropriately from common anomalies.  ...  Both implementations are derived from Bayesian non-parametric methods with strong modeling capabilities for learning and inference of multivariate time series with complex and uncertain behavior patterns  ...  Acknowledgments: We thank Shuangqi Luo and Shuangda Duan for their assistance throughout this project. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9061072 fatcat:rcca4rjkgralbhmnbishzigo6y

Artificial Intelligence Methodologies for Data Management

Joel Serey, Luis Quezada, Miguel Alfaro, Guillermo Fuertes, Manuel Vargas, Rodrigo Ternero, Jorge Sabattin, Claudia Duran, Sebastian Gutierrez
2021 Symmetry  
This study analyses the main challenges, trends, technological approaches, and artificial intelligence methods developed by new researchers and professionals in the field of machine learning, with an emphasis  ...  The study of data management using AI methodologies presents symmetry in the four machine learning groups: supervised learning, unsupervised learning, semi-supervised learning, and reinforced learning.  ...  Supervised learning 3 1 Support vector machines (SVM) Bayesian methods 2 Random Forests Classification 1 Reduced complexity algorithm 1 Decision tree 13 ANN 1 Manifold learning 3 Hierarchical clustering  ... 
doi:10.3390/sym13112040 fatcat:dtcfzqmka5byxhupaennbb77xi

Table of contents

2013 2013 IEEE International Conference on Systems, Man, and Cybernetics  
.............................3505 Yukihiro Hamasuna and Yasunori Endo Comparative Evaluation of Batch and Online Distance Metric Learning Approaches Based on Margin Maximization .......................  ...  Riviere xxvi Simple and Effective Machine Learning for Big Data -C11-01 Cryptanalysis of a Digital Watermarking Scheme Based on Support Vector Regression .............................................  ... 
doi:10.1109/smc.2013.4 fatcat:l3jh3joz3ve53hvgfu2u2a2glq

2020 Index IEEE Robotics and Automation Letters Vol. 5

2020 IEEE Robotics and Automation Letters  
., +, LRA Oct. 2020 5550-5557 SOLAR-GP: Sparse Online Locally Adaptive Regression Using Gaussian Processes for Bayesian Robot Model Learning and Control.  ...  ., +, LRA Oct. 2020 5283-5290 SOLAR-GP: Sparse Online Locally Adaptive Regression Using Gaussian Processes for Bayesian Robot Model Learning and Control.  ... 
doi:10.1109/lra.2020.3032821 fatcat:qrnouccm7jb47ipq6w3erf3cja

Robotic Assembly Replanning Agent Based on Neural Network Adjusted Vibration Parameters [chapter]

Lejla Banjanovic-Mehmedovic, Senad Karic
2011 Advances in Reinforcement Learning  
real-time responses, online learning, the environment or of an interaction between some subset of these.  ...  The working theory is that the human accomplishes an assembly in phases, with a defined behaviour and a subgoal in each phase.  ...  Advances in Reinforcement Learning Edited by Prof. Abdelhamid Mellouk Hard cover, 470 pages Reinforcement Learning (RL) is a very dynamic area in terms of theory and application.  ... 
doi:10.5772/12982 fatcat:jr3oyyfaznajveb7jyakwo7b2i

2021 Index IEEE Robotics and Automation Letters Vol. 6

2021 IEEE Robotics and Automation Letters  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages.  ...  Liang, J., +, LRA Oct. 2021 6148-6155 Online Object Searching by a Humanoid Robot in an Unknown Environment.  ... 
doi:10.1109/lra.2021.3119726 fatcat:lsnerdofvveqhlv7xx7gati2xu

Active Sensing for Search and Tracking: A Review [article]

Luca Varotto, Angelo Cenedese, Andrea Cavallaro
2021 arXiv   pre-print
APE is a key task for search and rescue missions, wildlife monitoring, source term estimation, and collaborative mobile robotics.  ...  APE control laws enable active sensing by satisfying either pure-exploitative or pure-explorative criteria.  ...  Giusti, “Learning long-range perception using self-supervision from system identification. CRC press, 2004.  ... 
arXiv:2112.02381v1 fatcat:zxptl2lhcne6hjephtrefoy5ju

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
Li, Z., +, TITS Dec. 2020 5060-5072 Forecasting theory An Improved Bayesian Combination Model for Short-Term Traffic Predic- tion With Deep Learning.  ...  ., +, TITS Feb. 2020 882-893 Vehicle Identification by Means of Radio-Frequency-Identification Cards and Magnetic Loops.  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4
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