Article
Agronomy
Gustavo Jose Querino Vasconcelos, Gabriel Schubert Ruiz Costa, Thiago Vallin Spina, Helio Pedrini
Summary: Sustainable agriculture technologies are crucial for increasing crop productivity, reducing agrochemical usage, and improving energy efficiency. This study presents a low-cost autonomous robot for image acquisition in agricultural fields. The robot costs around $850 and a new dataset for plant and weed segmentation in bean crops was created.
Article
Automation & Control Systems
Chih-Hung Gilbert Li, Long-Ping Zhou, Yu-Hua Chao
Summary: This article introduces a self-balancing wheeled robot called J4.alpha, equipped with intelligent navigation modules and automatic balancing system. Utilizing RGB-D camera and deep convolutional neural network for navigation, combined with topological localization scheme for automatic navigation, the experimental result confirms the effectiveness of the intelligent navigation modules.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Agriculture, Multidisciplinary
Tianhai Wang, Bin Chen, Zhenqian Zhang, Han Li, Man Zhang
Summary: This paper reviews the applications of machine vision in agricultural robot navigation, introduces the advantages, disadvantages, and roles of different vision sensors and algorithms, discusses the challenges faced in this field, and looks forward to future research directions.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Engineering, Electrical & Electronic
Zhanghao Zhu, Yutaka Kaizu, Kenichi Furuhashi, Kenji Imou
Summary: Recent years have seen impressive developments in visual-inertial odometry (VIO) techniques for accurate state estimation. However, these approaches are often not open source and may fail in real experiments due to temporary lack of features and fast motion. This study proposes the use of encoders to overcome these limitations and presents a tightly coupled visual-inertial encoder RGB-D SLAM system. Experimental tests confirm the accurate and robust real-time state estimation achieved by our system.
IEEE SENSORS JOURNAL
(2022)
Article
Automation & Control Systems
Ernesto C. Orozco-Magdaleno, Fernando Gomez-Bravo, Eduardo Castillo-Castaneda, Giuseppe Carbone
Summary: This article discusses a specific hybrid locomotion configuration that combines legs and Mecanum omniwheels into a six-legged hexapod robot, addressing theoretical backgrounds and open issues such as gait planning, modeling omnidirectional motion, and designing control architecture. The article showcases the suitability, feasibility, and successful performance of the proposed locomotion strategies, presenting experimental results and novel scientific contributions in the field of hybrid mobile robots.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Agriculture, Multidisciplinary
Hailong Li, Longzhe Quan, Yinghao Guo, Pengfei Pi, Yihui Shi, Zhaoxia Lou, Wei Jiang, Fulin Xia, Deng Sun, Yunhuan Yang, Wenchao Xu, Qian Chen
Summary: This study developed a high-precision patch-spraying robot system that conducts patch-spraying operations at the individual plant scale based on weed maps. The spraying effect is evaluated through post-spraying droplet deposition images. The research shows that the developed agricultural robot can perform patch-spraying operations at the individual plant scale, and modeling corrections for random errors improve the accuracy and precision of patch-spraying.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Computer Science, Artificial Intelligence
Juan Jose Gamboa-Montero, Fernando Alonso-Martin, Sara Marques-Villarroya, Joao Sequeira, Miguel A. Salichs
Summary: Artificial intelligence and robotics are rapidly advancing, leading to concerns about data privacy and personal information security. The federated learning approach allows for collaborative and incremental learning while respecting user privacy. This distributed learning method has shown improvement over traditional approaches in real world evaluations.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Atsushi Kakogawa, Kenya Murata, Shugen Ma
Summary: This article proposes an automatic T-branch travel method for an articulated wheeled in-pipe inspection robot, AIRo-5.2, which utilizes joint angle response to environmental changes. By switching from torque control to angle control, the robot can navigate vertical T-branches. The effectiveness of the proposed method was confirmed through experiments on different T-branches.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Review
Engineering, Multidisciplinary
Sina Poorghasem, Yi Bao
Summary: Recent advancements in robotics and machine vision have made it possible to automate the measurement of vibration for civil engineering structures. Various types of robotic platforms, including drones and land robots, equipped with advanced navigation and data acquisition systems, have been developed for this purpose. Cameras deployed on these platforms capture videos of structures, and machine vision approaches extract structural vibration from these videos. This review focuses on the capabilities, technical limitations, promising solutions, and practical performance of robot-based approaches in field measurements involving low vibration amplitudes and long-term monitoring requirements.
Review
Chemistry, Analytical
Carina Soledad Gonzalez-Gonzalez, Rosa Maria Gil-Iranzo, Patricia Paderewski-Rodriguez
Summary: This paper presents a systematic literature review on sexual robots, revealing a male bias in the discipline and the increasing relevance of user opinions in recent years. Insights and recommendations for addressing gender and ethics in designing sexual robots were provided.
Article
Automation & Control Systems
Weihua Li, Junlong Guo, Liang Ding, Jianfeng Wang, Haibo Gao, Zongquan Deng
Summary: This article presents a new bilateral teleoperator for wheeled mobile robots (WMR) with dynamic longitudinal slippage. By augmenting the traditional dynamic model and determining the slippage-induced unstable elements through passivity analysis, a conservative slippage-dependent local controller is proposed to compensate for the active energy at the slave site without online estimation of wheel slippage. The teleoperator is designed by guaranteeing the passivity of the entire teleoperation system. Experiments confirm the stability and good performance of the proposed methods on soft terrains.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Review
Computer Science, Interdisciplinary Applications
Roohollah Jahanmahin, Sara Masoud, Jeremy Rickli, Ana Djuric
Summary: This article summarizes the efforts to express human behavior in industrial human-robot interactions (HRI) in manufacturing. It discusses existing methods, research gaps, and future research directions, highlighting the importance of understanding human behavior in creating reliable and effective collaborative robotic environments.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Multidisciplinary Sciences
Mohammad Maleki Roudposhti, Sajad Haghzad Klidbary
Summary: In this study, a robot with six degrees of freedom is designed using a combination of parallel and wheeled robots. The aim is to optimize energy consumption and achieve accurate positioning. The robot can be used in transportation systems and various industries, and its physical limitations are considered.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Agronomy
Chung-Liang Chang, Hung-Wen Chen, Yung-Hsiang Chen, Chang-Chen Yu
Summary: This study investigates a method using mathematical morphology and Hough transformation to enable a robot to autonomously follow a drip tape. The proposed method extracts the drip tape from images and estimates the deviation angle to achieve stable robot navigation. Experimental results demonstrate superior performance compared to other edge detection methods.
Article
Green & Sustainable Science & Technology
Clara Scheutz, Theresa Law, Matthias Scheutz
Summary: This paper discusses the application of environmental psychology in designing interactive robots to promote pro-environmental behavioral changes in humans through human-robot interaction. It provides a literature review on the current state of social robots used to encourage sustainable behaviors, proposes hypothetical scenarios, and suggests potential environmental psychological concepts that can be utilized.
Article
Engineering, Industrial
Itshak Tkach, Yael Edan, Shimon Y. Nof
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2017)
Article
Robotics
George Adamides, Christos Katsanos, Ioannis Constantinou, Georgios Christou, Michalis Xenos, Thanasis Hadzilacos, Yael Edan
JOURNAL OF FIELD ROBOTICS
(2017)
Article
Agricultural Engineering
Polina Kurtser, Yael Edan
BIOSYSTEMS ENGINEERING
(2018)
Article
Neurosciences
Danny Eizicovits, Yael Edan, Iris Tabak, Shelly Levy-Tzedek
RESTORATIVE NEUROLOGY AND NEUROSCIENCE
(2018)
Article
Computer Science, Artificial Intelligence
Shanee S. Honig, Tal Oron-Gilad, Hanan Zaichyk, Vardit Sarne-Fleisehmann, Samuel Olatunji, Yael Edan
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Ola Ringdahl, Polina Kurtser, Yael Edan
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2019)
Article
Chemistry, Analytical
Boaz Arad, Polina Kurtser, Ehud Barnea, Ben Harel, Yael Edan, Ohad Ben-Shahar
Article
Chemistry, Analytical
Elie Zemmour, Polina Kurtser, Yael Edan
Article
Chemistry, Multidisciplinary
Rick van Essen, Ben Harel, Gert Kootstra, Yael Edan
Summary: This paper presents a rule-based methodology for dynamically selecting the viewpoint for maturity classification of sweet peppers. The method takes into account potential misclassification and operational costs, and makes an online decision to capture the best viewpoint. The results show that dynamic viewpoint selection improves classification accuracy and reduces economic costs for sweet peppers.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Ben Harel, Yael Edan, Yael Perlman
Summary: This research addresses the formulation of an individual fruit harvest decision as a nonlinear programming problem, taking into consideration selective harvesting based on fruit maturity. A model was developed to make operational level decisions, considering time window constraints, resource limitations, yield perishability, and uncertainty. Numerical studies were conducted to compare decisions for different types of workers and analyze the capabilities of robotic harvesters in a case study of sweet pepper harvesting. The results show the impact of the robot's maturity classification capabilities on its output and the improvement in cycle times required for the economic feasibility of a robotic harvester.
APPLIED SCIENCES-BASEL
(2022)
Proceedings Paper
Computer Science, Cybernetics
Shanee Honig, Hanan Zaichyk, Yael Edan, Tal Oron-Gilad
CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Polina Kurtser, Yael Edan
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
V Sarne-Fleischmann, S. Honig, T. Oron-Gilad, Y. Edan
2017 26TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN)
(2017)
Article
Engineering, Industrial
George Adamides, Christos Katsanos, Yisrael Parmet, Georgios Christou, Michalis Xenos, Thanasis Hadzilacos, Yael Edan
APPLIED ERGONOMICS
(2017)
Article
Engineering, Industrial
Guillaume Doisy, Adi Ronen, Yael Edan
APPLIED ERGONOMICS
(2017)