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16th International Conference on Social robotics, ICSR + InnoBiz 2024

作者： Xu, Yue Zhang, Yinlong Liu, Shuai Liu, Yuanhao Liang, Wei He, Hongsheng Shenyang University of Technology Shenyang110020 China Guangzhou Institute of Industrial Intelligence Guangzhou511458 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Department of Computer Science The University of Alabama TuscaloosaAL35487 United States

ISBN: (纸本)9789819611508

Accurately tracking the robotic arm and human joints is crucial to ensure safety during human-robot interaction. However, traditional pose tracking methods often exhibit insufficient performance and robustness in complex environments. The variations in the robotic arm’s environment and posture make it challenging for traditional methods to accurately capture the positions and posture of its joints. Specifically, when addressing challenges such as high similarity, occlusion, background complexity, and joint recognition failures, they often struggle to provide reliable and accurate results. To address these challenges, this paper proposes a human-robot pose tracking algorithm based on a new convolutional neural network model. To enhance detection accuracy, an improved color detection module is introduced to resolve joint misclassification. A geometric perception module is designed to accurately locate joints even under occlusion. Additionally, innovative iEMA and DBB modules are incorporated. The iEMA module employs edge detection technology to dynamically adjust thresholds for correct matching by improving the edge matching process. The DBB module refines the boundary box parameters for precise localization by introducing adaptive bounding box updates in real-time. This algorithm also integrates human pose recognition, enabling real-time pose recognition, thereby facilitating more intelligent and natural human-robot interaction. The algorithm has been rigorously evaluated on a custom-designed robotic arm platform. Experimental results validate the algorithm’s effectiveness and feasibility. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Robotic arms

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Empowering Leather Quality Assurance: Leveraging Convolutional Neural Networks for Precise Defect Detection and Classification 3

Empowering Leather Quality Assurance: Leveraging Convolution...

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3rd International Conference on Intelligent systems, Advanced Computing, and Communication, ISACC 2025

作者： Logeswaran, K. Suresh, P. Savitha, S. Sah, Swati Kr, Prasanna Kumar Rajadevi, R. Vasugi, M. Sujit, B. Akilesh, T. Kongu Engineering College Center of Excellence in Real-Time Analytic Department of Artificial Intelligence Tamilnaud Erode India Vellore Institute of Technology Department of Database Systems Tamil Nadu Vellore India K.S.R College of Engineering Department of Computer Science and Engineering Tamil Nadu Tiruchengode India Sharda University School of Engineering and Technology Uttar Pradesh Greater Noida India Kongu Engineering College Department of Information Technology Tamilnaud Erode India Kongu Engineering College Department of Artificial Intelligence Tamilnaud Erode India

ISBN: (纸本)9798331523893

Ensuring the development of high-quality leather products in the industrial sector requires a strong focus on leather quality assurance. In this study, a unique method for enhancing leather quality assurance using Convolutional Neural Networks (CNNs) is presented. Our suggested solution is able to detect and classify leather defects with amazing accuracy and efficiency by utilizing deep learning. CNN integration for leather fault categorization and detection offers a more reliable and affordable solution, ensuring better product quality and satisfied customers. Existing methods for inspecting leather products often suffer from inconsistent quality control, subjective manual inspection processes, and the complexity of accurately identifying and classifying various types of leather defects. By addressing these challenges, the proposed system aims to empower leather manufacturers with a reliable and efficient solution for ensuring consistent product quality and reducing production costs. Convolutional Neural Networks (CNNs) are integrated to provide a highly automated and effective solution that overcomes these scaling challenges. The proposed CNN-based method uses deep learning algorithms to decode images, which allows the system to swiftly and precisely analyse enormous volumes of visual data. To make sure the CNN can differentiate between various defect classes and keep a low rate of false positives and false negatives, its accuracy, precision, recall, and F1 score should be carefully assessed. © 2025 IEEE.

关键词： automation Convolutional Neural Networks (CNNs) deep learning defect classification defect detection image analysis Leather quality assurance manufacturing industry precision product quality control

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real-time MAP REFINEMENT BY USE OF SONAR AND ACTIVE STEREO-VISION

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robotics AND AUTONOMOUS systems 1995年第1期16卷 47-56页

作者： WALLNER, F DILLMANN, R Institute for Real-Time Computer Systems & Robotics Department of Computer Science University of Karlsruhe P.O. Box 6980 76128 Karlsruhe 1 Germany

A mobile robot that navigates in an unknown or changing environment needs to maintain a dynamic model of its environment in order to update existing knowledge about the world. This paper addresses the problem of how to update a local model of the perceivable environment of a mobile robot and how to produce a description of newly perceived obstacles. A new hybrid concept is presented which combines the advantages of parameter- and grid-based modelling techniques. By introducing local grids that only cover areas where new obstacles are expected, the complexity of the map building process is significantly reduced. Local grids can be used in dynamic environment which was not possible with earlier grid-modelling approaches. The information, grids are constructed from, is provided by ultrasonic range sensors and an active stereo-vision system, Fusing information of both sensor systems is advantageous, especially due to their complementary error characteristics concerning range and angular resolution.

关键词： MOBILE ROBOT ACTIVE SENSING MAP BUILDING SENSOR FUSION

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THE CONTROL ARCHITECTURE OF THE PRIAMOS MOBILE SYSTEM

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CONTROL ENGINEERING PRACTICE 1994年第2期2卷 341-346页

作者： DILLMANN, R KREUZIGER, J WALLNER, F Department of Computer Science University of Karlsruhe Institute for Real-Time Computer Control Systems and Robotics P.O. Box 6980 76128 Karlsruhe Germany

In this paper the control architecture of the PRIAMOS mobile robot system is presented. It consists of four layers which integrate reactive and reflexive components in such a way that the robot can combine fast reaction to unexpected obstacles with predictive behaviour to known components in the environment. A solution for the problem of how to combine control layers which process information on different levels of abstraction and of increasing complexity is discussed. The reflexive part of the control architecture and the modification concerning the motion controller of the mobile robot which was necessary to apply the idea of reflexive navigation is described in more detail. The architecture presented allows motion tasks to be executed in partially unknown or changing environment in an efficient manner. Especially, the time-critical reflexive level is computationally less expensive than in previous approaches.

关键词： INTELLIGENT MACHINES NAVIGATION HIERARCHICALLY INTELLIGENT CONTROL ARCHITECTURE OBSTACLE AVOIDANCE ROBOTS SENSORS

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Remote-controlled mechanical and directional motions of photoswitchable DNA condensates

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Nature Communications 2025年第1期16卷 1-16页

作者： Udono, Hirotake Nomura, Shin-ichiro M. Takinoue, Masahiro Department of Computer Science School of Computing Institute of Science Tokyo Kanagawa Yokohama 226-8501 Japan Department of Robotics Graduate School of Engineering Tohoku University Miyagi Sendai 980-8579 Japan Research Center for Autonomous Systems Materialogy (ASMat) Institute of Innovative Research (IIR) Institute of Science Tokyo Kanagawa Yokohama 226-8501 Japan

Membrane-free synthetic DNA-based condensates enable programmable control of dynamic behaviors as shown by phase-separated condensates in biological cells. We demonstrate remote-controlled microflow using photocontrollable state transitions of DNA condensates, assembled from multi-branched DNA nanostructures via sticky-end (SE) hybridization. Introducing azobenzene into SEs enables their photoswitchable binding affinity, which underlies photoreversible fluidity of the resulting condensates that transition between gel/liquid/dissociated states in a wavelength-dependent manner. Leveraging base-sequence programmability, spatially coupled orthogonal DNA condensates with divergent photoresponsive capabilities perform multi-modal mechanical actions that depend on azobenzene insertion sites in the SE, including switching flows radially expanding and converging under photoswitching. Localizing photoswitching within a DNA liquid condensate generates two distinct directional motions, whose contrasting morphology, direction, and lifetime are determined by switching frequency. Numerical simulations reveal its regulatory role in weight-adjusting energy-exchanging and energy-dissipative interactions between the photoirradiated and unirradiated domains. © The Author(s) 2025.

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Model-based diagnosis of complex systems: Structuring and temporal reasoning

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Annual Review in Automatic Programming 1991年第PART 1期16卷 41-45页

作者： Hübner, T Institute for Real Time Computer Systems and Robotics Faculty of Computer Science University of Karlsruhe Karlsruhe Germany

Model-based diagnosis of industrial applications (i.e., complex systems) has to face a lot of problems inherent in complexity. Most applications involve thousands of components and are dynamic. The approach outlined in this paper is based on semantic nets representing causal and temporal knowledge to be used for fault diagnosis. A view-and a hierarchy-concept serve for structured modelling and focused diagnosis. An efficient diagnostic inference mechanism is based on a pre-computation phase, where diagnostic knowledge is restructured to grant efficient access operations during a diagnostic session phase. © 1992.

关键词： artificial intelligence causal reasoning expert systems Failure detection model-based modeling structuring temporal reasoning

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An integrated method for planning smooth collision-free trajectories for robot arms 3

An integrated method for planning smooth collision-free traj...

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3rd Annual Conference of AI, Simulation and Planning in High Autonomy systems

作者： Zhang, Jianwei Institute for Real-Time Computer Systems and Robotics Faculty of Computer Science University of Karlsruhe Germany

ISBN: (纸本)0818626755

A method for planning motions of robot arms is presented which considers not only the collision-avoidance but also robot's dynamic aspects. Based on the concept of configuration space, robot motions are planned at the topological and geometric level consecutively. At the topological level, the boundaries of the Configurationspace obstacles (C-obstacles) are computed and approximately represented while the complement of the C- obstacles, i.e. the free-space is divided into Empty Blocks (EBs). Linking all the connected EBs, we get a net called characteristic net. Given the initial and goal configuration of the robot, routes consisting of EBs (EB-routes) are searched in the characteristic net. At the geometric level, smooth trajectories are generated along EB-routes using B- splines while avoiding collisions with local C-obstacles. © 1992 IEEE.

关键词： Topology

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QTER: QoS-Aware Three-Dimensional Efficient and Reliable Routing for LEO Satellite Networks

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IEEE Internet of Things Journal 2025年

作者： Zheng, Jinkai Luan, Tom H. Li, Guanjie Zhang, Yanfeng Yuan, Mingfeng Pan, Jianping Dongguan University of Technology School of Electrical Engineering and Intelligentization China Xi’an Jiaotong University China Xidian University School of Cyber Engineering China Singapore University of Technology and Design Information Systems Technology and Design Pillar Singapore University of Toronto Institute for Aerospace Studies University of Toronto Robotics Institute Canada University of Victoria Department of Computer Science Canada

Low Earth Orbit (LEO) satellite networks offer a promising approach for achieving global coverage and high-speed Internet access. However, the existing communication frameworks within these networks may result in low robustness and reliability. This paper introduces QTER, a novel and lightweight routing framework specifically designed for LEO networks, aimed at addressing these challenges. Our contributions are threefold. First, QTER establishes a cost-effective and reliable routing framework that accommodates a variety of applications with distinct Quality of Service (QoS) requirements. By enabling multi-path routing, the framework minimizes costs while ensuring end-to-end reliability, thus enhancing adaptability to diverse service demands. Second, we leverage the unique structural characteristics of LEO satellite networks by modeling the satellite constellation as a three-dimensional network, wherein higher-shell satellites serve as management satellite nodes (MSNs) to coordinate routing strategies among lower-shell satellites. This architecture significantly improves system efficiency and adaptability. Third, we propose a failure recovery mechanism that allows MSNs to relay packets when lower-orbit satellites are rendered unavailable due to environmental factors, thereby enhancing system robustness. Extensive simulations demonstrate that QTER exhibits resilience to node failures and dynamic network conditions, achieving reductions in average cost and delay by 59.4% and 38.9%, respectively, compared to baselines. © 2014 IEEE.

关键词： Resource allocation

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Virtual cutting in medical data

Virtual cutting in medical data

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作者： Mazura, A. Seifert, S. Institute for Real-time Computer Systems and Robotics University of Karlsruhe Department for Computer Science 76128 Karlsruhe Germany

In this paper we present a method for virtual 3D cutting operations in 3D tomographic data. When cutting interactively the user specifies a serie of 3D cutting points and correponding cut depths on the surface of the object. Each pair of succeeding cutting points then defines a freeform shape of the incision. A 3D meshing algorithm constructs a Finite Element mesh formed by tetrahedrons, representing the surgical intervention. © 1997 The authors.

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Simulation of jaw-movements for the musculoskeletal diagnoses

Simulation of jaw-movements for the musculoskeletal diagnose...

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作者： Weingärtner, T. Dillmann, R. Institute for Real-Time Computer Systems and Robotics University of Karlsruhe Department for Computer Science 76128 Karlsruhe Germany

Simulations of static and dynamic aspects of the functionality of the human body are getting more important as the complexity of operations increases. The preoperative planning of maxillofacial operations like the repositioning of the jaw is an example for such operation. Here, but also in other medical fields, simulation can help to estimate the results of a procedure or can facilitate the diagnosis through a better view of the anatomy and pathology of the patient. A virtual view on the pathology and the possibility of simulating the postoperative results simplifies and improves the preoperative planning. The goal of our research is the development of a graphical simulation of the human mastication system to give the surgeon an impression on the inner anatomy of his patient. This simulation allows him to predict the aesthetic and functional outcome of his operation. The main focus of this paper is the introduction of a kinematic model of the temporomandibular joint. This kinematic model describes the geometrical and analytical movement of the jaw by specially defined axes. It is the basis for an animated simulation of the mandible movement. Through integration of the muscles and muscle forces, we come to a realistic dynamic simulation of the whole mastication system. © 1997 The authors.

关键词： Pathology

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