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Ren C. Luo - IEEE Xplore Author Profile
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Ren C. Luo

Also published under: R. C. Luo, Ren-Chyuan Luo

Publications
324
Citations
4,478
Publications by Year
19882022
Co-Authors:
Show All Co-Authors (290)
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Ren C. Luo

Also published under: R. C. Luo, Ren-Chyuan Luo

Affiliation

Electrical Engineering Department
National Taiwan University
Taipei, Taiwan, R.O.C.

Publication Topics

Biography

Ren C. Luo (renluo@ntu.edu.tw) earned his Dr.-Ing degree from the Technical University of Berlin, Germany. He is a life distinguished professor at National Taiwan University, Taipei, 106, Taiwan. His research interests include intelligent control and robotic systems. He is the editor-in-chief of IEEE Transactions on Industrial Informatics, a past president of the IEEE Industrial Electronics Society, and a Fellow of IEEE.(Based on document published on 6 January 2021).
Publications
324
Citations
4,478
Publications by Year
19882022
Co-Authors:
Show All Co-Authors (290)
Author's Published Works

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AI Enhanced Visual Inspection of Post-Polished Workpieces Using You Only Look Once Vision System for Intelligent Robotics Applications

Ren C. Luo;Zheng-Lun Yu

2022 International Conference on Advanced Robotics and Intelligent Systems (ARIS)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
The objective of this paper is to provide a solution of automated optical inspection for post-polished workpieces using you only look once YOLOv5 vision system. It intends to assist human labor who checks workpieces with eyes in the long terms. Robots have now become an essential role in industrial applications. An example application is automating polishing tasks using robots. However, polishing ...Show More

AI Enhanced Visual Inspection of Post-Polished Workpieces Using You Only Look Once Vision System for Intelligent Robotics Applications

Ren C. Luo;Zheng-Lun Yu

Year: 2022 | Conference Paper |

Evidential Sensory Fusion of 2D Feature and 3D Shape Information for 3D Occluded Object Recognition in Robotics Applications

Ren C. Luo;Chi-Tang Chen

2022 International Conference on Advanced Robotics and Intelligent Systems (ARIS)
Year: 2022 | Conference Paper |
An evidential sensory fusion using 2D feature and 3D shape information method is proposed to recognize the occluded object. For the applications of robotic object fetching, the conventional object recognition methods usually applied the algorithms separately from 2D texture matching or 3D shape fitting. It often causes the wrong recognition results when the objects are occluded. The motivation in ...Show More

Evidential Sensory Fusion of 2D Feature and 3D Shape Information for 3D Occluded Object Recognition in Robotics Applications

Ren C. Luo;Chi-Tang Chen

Year: 2022 | Conference Paper |

Robust Indoor Localization Using Histogram of Oriented Depth Model Feature Map for Intelligent Service Robotics

Ren C. Luo;Wei-Lung Hsu

IEEE/ASME Transactions on Mechatronics
Year: 2022 | Volume: 27, Issue: 5 | Journal Article |
Cited by: Papers (2)
Indoor service robots accumulate errors when its own reference map differs from the true environment such as when furniture has been rearranged in an area. This results in poor localization accuracy when pose estimation relies on outdated maps. Traditional methods address this issue by rebuilding the reference map from scratch. In this article, we propose a histogram of oriented depth model (HODM)...Show More

Robust Indoor Localization Using Histogram of Oriented Depth Model Feature Map for Intelligent Service Robotics

Ren C. Luo;Wei-Lung Hsu

Year: 2022 | Volume: 27, Issue: 5 | Journal Article |

Dual-Filtering for On-Line Simultaneously Estimate Weights and Phase Parameter of Probabilistic Movement Primitives for Human-Robot Collaboration

Ren.C Luo;Licong Mai

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2021 | Conference Paper |
The Probabilistic Movement Primitives (ProMPs) is an essential issue and framework for robotics Learning from Demonstration (LfD). It has been successfully applied to the robotics field in tasks such as skill acquisition and Human-Robot Collaboration (HRC). In this paper, we focus on its adaptability in the HRC scenario, in which the adaptability of the ProMPs allows the robot to predict the futur...Show More

Dual-Filtering for On-Line Simultaneously Estimate Weights and Phase Parameter of Probabilistic Movement Primitives for Human-Robot Collaboration

Ren.C Luo;Licong Mai

Year: 2021 | Conference Paper |

A 70-Year Industrial Electronics Society Evolution Through Industrial Revolutions: The Rise and Flourishing of Information and Communication Technologies

Armando Walter Colombo;Stamatis Karnouskos;Xinghuo Yu;Okyay Kaynak;Ren C. Luo;Yang Shi;Paulo Leitao;Luis Ribeiro;Jan Haase

IEEE Industrial Electronics Magazine
Year: 2021 | Volume: 15, Issue: 1 | Magazine Article |
Cited by: Papers (21)
The Industrial Revolution, which originally involved the change from an agrarian and handicraft economy to a market dominated by factory mechanization during the early 18th century, has profoundly shaped the world. It has progressed through four disruptive phases: Industry 1.0 through Industry 4.0. Industry 1.0 encompassed early automation, while Industry 2.0 began at the end of the 19th century, ...Show More

A 70-Year Industrial Electronics Society Evolution Through Industrial Revolutions: The Rise and Flourishing of Information and Communication Technologies

Armando Walter Colombo;Stamatis Karnouskos;Xinghuo Yu;Okyay Kaynak;Ren C. Luo;Yang Shi;Paulo Leitao;Luis Ribeiro;Jan Haase

Year: 2021 | Volume: 15, Issue: 1 | Magazine Article |

Multi-model Fusion on Real-time Drowsiness Detection for Telemetric Robotics Tracking Applications

Ren C. Luo;Chin Hao Hsu;Yu-Cheng Wen

2020 International Conference on Advanced Robotics and Intelligent Systems (ARIS)
Year: 2020 | Conference Paper |
Cited by: Papers (5)
Drowsiness of driver is one of the common causes resulting in road crashes. According to the research, there have been twenty percent of the road accidents which are related to the drowsiness of drivers. Nowadays, with the development technology, various approaches are introduced to detect the drowsiness of drivers. In this paper, we propose a multi-model fusion system which is composed of the thr...Show More

Multi-model Fusion on Real-time Drowsiness Detection for Telemetric Robotics Tracking Applications

Ren C. Luo;Chin Hao Hsu;Yu-Cheng Wen

Year: 2020 | Conference Paper |

Modular ROS Based Autonomous Mobile Industrial Robot System for Automated Intelligent Manufacturing Applications

Ren C. Luo;Shang Lun Lee;Yu Cheng Wen;Chin Hao Hsu

2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
Year: 2020 | Conference Paper |
Cited by: Papers (6)
The objective of this paper is to develop a modular Robot Operating System (ROS) based autonomous mobile industrial robot system for automated intelligent manufacturing applications. We propose a finite state machine based method to integrate and manage various modular functions on the mobile manipulator which makes it have a great talent on mobility and manipulation. For mobility, we perform simu...Show More

Modular ROS Based Autonomous Mobile Industrial Robot System for Automated Intelligent Manufacturing Applications

Ren C. Luo;Shang Lun Lee;Yu Cheng Wen;Chin Hao Hsu

Year: 2020 | Conference Paper |

3D Digital Manufacturing via Synchronous 5-Axes Printing for Strengthening Printing Parts

Ren C. Luo;Lung Chuan Hsu;Tung Jung Hsiao;Yi Wen Perng

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (7)
The objective of this paper is to present the development of 3D digital manufacturing through synchronous 5-axes printing for greatly enhancing the strength of the printed parts. In traditional fused deposition manufacturing (FDM), which is one of the digital manufacturing technologies, the melted material is required to be extruded from the nozzle on the workspace platform with a fixed direction....Show More

3D Digital Manufacturing via Synchronous 5-Axes Printing for Strengthening Printing Parts

Ren C. Luo;Lung Chuan Hsu;Tung Jung Hsiao;Yi Wen Perng

Year: 2020 | Volume: 8 | Journal Article |

Adaptive Skew Force Free Model-Based Synchronous Control and Tool Center Point Calibration for a Hybrid 6-DoF Gantry-Robot Machine

Ren C. Luo;Yi Wen Perng

IEEE/ASME Transactions on Mechatronics
Year: 2020 | Volume: 25, Issue: 2 | Journal Article |
Cited by: Papers (18)
This article develops a high-stiffness, high-precision, hybrid tool center point (TCP) mode and a skew force free model-based (SFFMB) synchronous gantry-type design for a hybrid gantry-robot machine. For the new SFFMB synchronous gantry-type design, newly developed active/passive control models are presented to prevent gantry skew. The force ratio between the slave and master axes is generated, an...Show More

Adaptive Skew Force Free Model-Based Synchronous Control and Tool Center Point Calibration for a Hybrid 6-DoF Gantry-Robot Machine

Ren C. Luo;Yi Wen Perng

Year: 2020 | Volume: 25, Issue: 2 | Journal Article |

Omnidirectional Touch Probe With Adaptive Maneuvering for 3-D Object Machining and Measurement Verification Applications

Ren C. Luo;Yi Wen Perng

IEEE Transactions on Industrial Electronics
Year: 2020 | Volume: 67, Issue: 2 | Journal Article |
Cited by: Papers (2)
In this paper, automated omnidirectional touch probe (ODTP) including adaptive tuning of the complex contour curve with optimal interpolation and motion planning based on a hybrid multiaxis robot (HMAR) with dual drive gantry-type machine (DDGM) are presented. It is called an “omnidirectional” because the 6-degrees of freedom ODTP in tool center point mode can always maintain normal direction towa...Show More

Omnidirectional Touch Probe With Adaptive Maneuvering for 3-D Object Machining and Measurement Verification Applications

Ren C. Luo;Yi Wen Perng

Year: 2020 | Volume: 67, Issue: 2 | Journal Article |

CNN Based Reliable Classification of Household Chores Objects for Service Robotics Applications

Ren C. Luo;Hsien-Chang Lin;Yu-Ting Hsu

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Household chores service is one of the desirable functions for a service robot. Object classification is the most important function when searching for objects. We consider that the major concern is that the robot should not misclassify the object. If the robot misclassifies household object images, it will then perform the household tasks with the wrong object. This may cause serious damages to a...Show More

CNN Based Reliable Classification of Household Chores Objects for Service Robotics Applications

Ren C. Luo;Hsien-Chang Lin;Yu-Ting Hsu

Year: 2019 | Volume: 1 | Conference Paper |

Human Intention Inference and On-Line Human Hand Motion Prediction for Human-Robot Collaboration

Ren.C Luo;Licong Mai

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2019 | Conference Paper |
Cited by: Papers (19)
With recent development of robotic technology, it is increasingly common that robot coexist with human, in which humans and robots share a common workspace and work in close proximity. To maintain efficiency and ensure safety under these circumstances, robot should have the ability to predict the future human motion based on the observed on-going motion. In this paper, we present a methodology for...Show More

Human Intention Inference and On-Line Human Hand Motion Prediction for Human-Robot Collaboration

Ren.C Luo;Licong Mai

Year: 2019 | Conference Paper |

Indoor Localization System Based on Hybrid Wi-Fi/BLE and Hierarchical Topological Fingerprinting Approach

Ren C. Luo;Tung-Jung Hsiao

IEEE Transactions on Vehicular Technology
Year: 2019 | Volume: 68, Issue: 11 | Journal Article |
Cited by: Papers (86)
Wi-Fi-based localization using received signal strength (RSS) with pedestrian dead reckoning (PDR) algorithm is widely used to track pedestrians in indoor environments. However, the unsatisfactory deployment of Wi-Fi access points (APs) in buildings and the unstable performance of PDR are still key problems that lead to low localization accuracy. In this paper, we make contributions on proposing a...Show More

Indoor Localization System Based on Hybrid Wi-Fi/BLE and Hierarchical Topological Fingerprinting Approach

Ren C. Luo;Tung-Jung Hsiao

Year: 2019 | Volume: 68, Issue: 11 | Journal Article |

Multi-Modal Human-Aware Image Caption System for Intelligent Service Robotics Applications

Ren C. Luo;Yu-Ting Hsu;Huan-Jun Ye

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Image captioning is a high-level task that generates the context scenario descriptions from an image. There are many ways to implement such kinds of ability that can generate a smooth sentence about the context scenario. Because of the open and extensive domain of the dataset, seldom of them can really help people to get the meaningful information of a specified scenario. In this paper, we propose...Show More

Multi-Modal Human-Aware Image Caption System for Intelligent Service Robotics Applications

Ren C. Luo;Yu-Ting Hsu;Huan-Jun Ye

Year: 2019 | Conference Paper |

Coping with Overfitting Problems of Image Caption Models for Service Robotics Applications

Ren C. Luo;Hsien Chang Lin

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)
Year: 2019 | Conference Paper |
Image captioning is a task for generating the sentence to properly describe the image. This is a difficult task because multiple concepts should be captured by the model from the given images, such as object recognition, human detection, action recognition, etc. Therefore, if using the traditional data-driven approach to solve this problem, there will be an upper limit of the performance due to th...Show More

Coping with Overfitting Problems of Image Caption Models for Service Robotics Applications

Ren C. Luo;Hsien Chang Lin

Year: 2019 | Conference Paper |

Visual Image Caption Generation for Service Robotics and Industrial Applications

Ren C. Luo;Yu-Ting Hsu;Yu-Cheng Wen;Huan-Jun Ye

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)
Year: 2019 | Conference Paper |
Cited by: Papers (16)
Image caption generation is a task that generates a sentence from a raw image, which is mimicking the intelligence of human that can acquire knowledge from the view. The difficulty of this task is the combination of multimodal knowledge learning, i.e. recognition of objects, actions, scenes, human, etc. In order to perform semantic understanding for service robotics or other industrial application...Show More

Visual Image Caption Generation for Service Robotics and Industrial Applications

Ren C. Luo;Yu-Ting Hsu;Yu-Cheng Wen;Huan-Jun Ye

Year: 2019 | Conference Paper |

Topological Map Generation for Intrinsic Visual Navigation of an Intelligent Service Robot

Ren C. Luo;Wei Shih

2019 IEEE International Conference on Consumer Electronics (ICCE)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
Navigation methods nowadays are mainly based on metric maps, and a set of explicit geometric coordinates must be provided. However, a service robot may struggle in reaching this precise coordinate. If there is an obstacle preventing the robot from reaching the goal coordinate, the robot will judge that it has not reached the goal even if it has already reached the area such as the "kitchen". Topol...Show More

Topological Map Generation for Intrinsic Visual Navigation of an Intelligent Service Robot

Ren C. Luo;Wei Shih

Year: 2019 | Conference Paper |

Dynamic Wireless Indoor Localization Incorporating With an Autonomous Mobile Robot Based on an Adaptive Signal Model Fingerprinting Approach

Ren C. Luo;Tung Jung Hsiao

IEEE Transactions on Industrial Electronics
Year: 2019 | Volume: 66, Issue: 3 | Journal Article |
Cited by: Papers (64)
Indoor localization based on received signal strength (RSS) will result in a decreased precision after the environment changes. In this paper, we develop an adaptive wireless indoor localization system (ILS) for dynamic environments. The system consists of the following two components: an automated database updating process and a new fingerprinting algorithm called adaptive signal model fingerprin...Show More

Dynamic Wireless Indoor Localization Incorporating With an Autonomous Mobile Robot Based on an Adaptive Signal Model Fingerprinting Approach

Ren C. Luo;Tung Jung Hsiao

Year: 2019 | Volume: 66, Issue: 3 | Journal Article |

Diagnostic and Prediction of Machines Health Status as Exemplary Best Practice for Vehicle Production System

Ren C. Luo;Hao Wang

2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
Year: 2018 | Conference Paper |
Cited by: Papers (11)
Diagnosis and prediction of the health status of vehicle components production line machine is the core requirement for global manufacturing system. With the development of Internet of things (IoT), there are enormous big data of production line could be collected quickly and stored in large quantities. The development of artificial intelligence makes it possible to deal with big data efficiently....Show More

Diagnostic and Prediction of Machines Health Status as Exemplary Best Practice for Vehicle Production System

Ren C. Luo;Hao Wang

Year: 2018 | Conference Paper |

Robot Artist Performs Cartoon Style Facial Portrait Painting

Ren C. Luo;Yu Jung Liu

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
This paper presents a face portrait with cartoon stylization painting and associated algorithms with the visual feedback system to paint like a human cartoonist. The robot cartoonist creates the artwork in two stages-cartoon style transformation and robot artist for colorful painting. In the cartoon style transformation stage, it transfers human portrait photos to cartoon style by face detection a...Show More

Robot Artist Performs Cartoon Style Facial Portrait Painting

Ren C. Luo;Yu Jung Liu

Year: 2018 | Conference Paper |

Automated Tool Coordinate Calibration System of an Industrial Robot

Ren C. Luo;Hao Wang

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2018 | Conference Paper |
Cited by: Papers (14)
Due to the widespread use of industrial robots in market, its application has extended to welding, painting, and freight handling. And tool coordinate calibration is regularly modified after tool replacement due to collision accident or routine maintenance. After tool replacement, operators often rebuild tool coordinates. This is the traditional mode of operation in the current industrial practice...Show More

Automated Tool Coordinate Calibration System of an Industrial Robot

Ren C. Luo;Hao Wang

Year: 2018 | Conference Paper |

Kidnapping and Re-Localizing Solutions for Autonomous Service Robotics

Ren C. Luo;Tung Jung Hsiao

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Indoor localization is one of the most important technologies for a mobile robot working in indoor environments. Laser-based robot localization methods provide good performance but is still problematic for kidnapping and re-localization issues. Monte Carlo Localization (MCL) has been introduced as a useful method that can deal with kidnapping and re-localization problems. However, MCL requires lon...Show More

Kidnapping and Re-Localizing Solutions for Autonomous Service Robotics

Ren C. Luo;Tung Jung Hsiao

Year: 2018 | Conference Paper |

Hierarchical Semantic Mapping Using Convolutional Neural Networks for Intelligent Service Robotics

Ren C. Luo;Michael Chiou

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (15)
The introduction of service robots in the public domain has introduced a paradigm shift in how robots are interacting with people, where robots must learn to autonomously interact with the untrained public instead of being directed by trained personnel. As an example, a hospital service robot is told to deliver medicine to Patient Two in Ward Three. Without awareness of what “Patient Two” or “Ward...Show More

Hierarchical Semantic Mapping Using Convolutional Neural Networks for Intelligent Service Robotics

Ren C. Luo;Michael Chiou

Year: 2018 | Volume: 6 | Journal Article |

Autonomous Mobile Robot Intrinsic Navigation Based on Visual Topological Map

Ren C. Luo;Wei Shih

2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
It is a necessity for mobile robots to navigate in indoor environments. With the navigation ability, robots can move around automatically. Navigation is also the basis of many kinds of tasks, such as object search, home surveillance and human guiding. Nowadays, navigation mostly relies on Simultaneous Localization and Mapping (SLAM). The metric map created by SLAM can provide rich details for navi...Show More

Autonomous Mobile Robot Intrinsic Navigation Based on Visual Topological Map

Ren C. Luo;Wei Shih

Year: 2018 | Conference Paper |

Low cost solution for calibration in absolute accuracy of an industrial robot for iCPS applications

Ren C. Luo;Hao Wang;Mong-Hsun Kuo

2018 IEEE Industrial Cyber-Physical Systems (ICPS)
Year: 2018 | Conference Paper |
Cited by: Papers (9)
The development of industrial cyber-physical systems (iCPS) and its extended application, many of the functions and applications of industrial robots will require self-control improvements. Due to the need in the industry, this paper presents a calibration method to resolve the absolute accuracy of robot TCP movement in a limited workspace problem. We implement this low-cost method with camera tra...Show More

Low cost solution for calibration in absolute accuracy of an industrial robot for iCPS applications

Ren C. Luo;Hao Wang;Mong-Hsun Kuo

Year: 2018 | Conference Paper |

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