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Article
Engineering, Multidisciplinary
Yirui Wu et al.
Summary: This paper proposes an edge-computing driven framework for image enhancement and object detection in low-light conditions. By combining cloud computing and edge computing technologies, the framework achieves fast response and improved detection performance.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Kechen Song et al.
Summary: Visual perception is crucial for industrial information field, specifically in robotic grasping application. To achieve fast and accurate object detection for grasping, salient object detection (SOD) is employed. However, existing SOD methods still have limitations in practical application due to complex interference. To address this, a novel triple-modal images fusion strategy called visible-depth-thermal (VDT) SOD is proposed. Experimental results demonstrate that our method outperforms state-of-the-art approaches.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Yaoxian Song et al.
Summary: Vision-based robotic grasping is a fundamental task in robotic control. This paper proposes a novel multi-modal neural network to predict grasps in real-time. By hierarchically fusing RGB and depth information and quantifying the uncertainty of depth data, the proposed method improves grasping performance and reduces the influence of incomplete and low-quality raw data.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Automation & Control Systems
Enrico Bellocchio et al.
Summary: Autonomous systems have revolutionized agriculture with their resource optimization and labor-saving capabilities. However, existing solutions for monitoring activities in agriculture, such as yield estimation, rely on expensive robotic platforms equipped with range devices. This paper proposes a novel approach that uses vision-based strategies and a weakly-supervised paradigm to perform yield estimation using only a monocular camera and limited supervision information. The proposed approach reduces deployment time, energy consumption, and cost, while maintaining performance comparable to fully supervised baselines and classical sensor-based systems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Automation & Control Systems
Margarita Rebolledo et al.
Summary: Evolutionary robotics focuses on optimizing autonomous robots for specific tasks. This paper studies the impact of energy consumption on robot evolution by adding a battery module to the robot simulator framework. The results show that considering energy consumption improves the robots' task performance and speeds up the evolution process.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Robotics
Hongjie Fang et al.
Summary: This article proposes a solution to the depth completion problem for transparent objects. By creating a large-scale real-world dataset, our method is able to better handle the visual grasping and manipulation of transparent objects, and has stronger generalization ability. An end-to-end depth completion network is used, which is able to process high-resolution images under limited hardware resources.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Automation & Control Systems
Wenhui Zhang et al.
Summary: This paper proposes a robust control method based on adaptive neural network to address uncertain factors in engineering practice. By designing a compensation controller and a neural network compensator, the error model is approximated and eliminated to improve control accuracy and robustness. Experimental results demonstrate that this method can effectively suppress elastic vibration and achieve good compensation performance.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Review
Computer Science, Artificial Intelligence
Guoguang Du et al.
Summary: This paper provides a comprehensive overview of vision-based robotic grasping, focusing on key tasks such as object localization, object pose estimation, and grasp estimation. Various methods combining these tasks, including traditional and deep learning-based approaches, are reviewed in detail. Challenges and future directions in the field are also highlighted.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Review
Automation & Control Systems
Yuchuang Tong et al.
Summary: Supernumerary robotic limbs (SRLs) are a new type of wearable human auxiliary equipment that have broad applications in human-robot collaboration and integration, as well as improving social security and public services. This paper summarizes the research status, technical challenges, and future development prospects of SRLs.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Computer Science, Hardware & Architecture
Yadong Teng et al.
Summary: The paper introduces an end-to-end approach method for grasp detection using deep learning, which significantly improves accuracy by modeling relationships using depthwise and pointwise convolutions and performs well on the Jacquard dataset in predicting grasp points on novel class objects.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Yirui Wu et al.
Summary: This paper proposes a method using a deep neural network for multi-modal relation reasoning, which successfully constructs a regional attention scheme and multi-scale property to accurately answer questions about images.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Ke Zhu et al.
Summary: CSRA, a class-specific residual attention module, achieves state-of-the-art results in multi-label recognition through a simple approach, showcasing its ease of implementation and computational efficiency.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021)
(2021)
Article
Robotics
Douglas Morrison et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2020)
Article
Automation & Control Systems
Javier Garcia et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2020)
Review
Agriculture, Multidisciplinary
Baohua Zhang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2020)
Review
Chemistry, Analytical
Chao Wang et al.
Article
Computer Science, Interdisciplinary Applications
Yanan Song et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2020)
Article
Robotics
Fu-Jen Chu et al.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2018)
Article
Automation & Control Systems
B. Desrochers et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2016)
Article
Thermodynamics
Zhichao Wang et al.
ADVANCES IN MECHANICAL ENGINEERING
(2016)
Article
Robotics
Ian Lenz et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2015)
