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检索条件"任意字段=6th Canadian Conference on Computer and Robot Vision"

共 362 条记录，以下是1-10 订阅

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Authentication and Verification in Human-robot Cooperative robotic Cells using Stereo vision and Gesture Control 6

Authentication and Verification in Human-Robot Cooperative R...

引用

6th IEEE International conference on Image Processing, Applications and Systems, IPAS 2025

作者： Kovacs, Gabor Sziranyi, Tamas HUN-REN Institute for Computer Science and Control Machine Perception Research Laboratory Budapest Hungary

ISBN: (纸本)9798331506520

the integration of human-robot interaction (HRI) technologies with industrial automation has become increasingly essential for enhancing productivity and safety in manufacturing environments. In this paper, we propose a novel approach to address these challenges by using stereo vision and gesture control in cooperative robotic cells. Our system enables seamless authentication of operators and real-time verification of task execution, ensuring compliance with established protocols and safety *** features of our system include its gesture-based operation with gesture recognition algorithms, allowing operators to interact with robotic systems intuitively and efficiently. By leveraging stereo vision, our system accurately tracks the operators' movement within the workspace, facilitating precise task execution and object *** present a detailed description of our system architecture, experimental configuration, and real-world performance assessment. Our results demonstrate the effectiveness and feasibility of our approach in enhancing operational efficiency, ensuring quality, and improving the overall user experience in industrial automation. © 2025 IEEE.

关键词： Human robot interaction

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Safety-driven Electronic Components disassembly through Human-robot Collaboration framework 6

Safety-driven Electronic Components disassembly through Huma...

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6th International conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Choubeh, Nima Rahmani Zarei, Mostafa Quadrini, Walter Gusmeroli, Sergio Fumagalli, Luca Department of Management Economics and Industrial Engineering Politecnico di Milano p.zza Leonardo da Vinci 32 Milan20133 Italy

Recent trends of industry brought to the attention of the scientific and practitioners' communities the need for providing efficient strategies to manage the End of Life of products. this propensity gained increased importance after the global semiconductor shortage, when the acquired value of Electronic Components (ECs) made their recovery profitable. the most used disassembly techniques, however, dismantle ECs for recycling purposes, usually leaving them unserviceable. To overcome this issue, human intervention appears to be a promising option, but to make this approach productive in an industrial scale, the human operator is supposed to be assisted by robotic equipment. this frames the disassembly operation into a Human-robot Collaboration (HRC) scenario, which requires additional considerations in terms of safety and interactions. this work, hence, leverages on a framework for HRC in order to design a disassembly operation for effectively retrieving ECs from circuit boards. Additional safety measures leveraging on a computer vision-based computation of the proximity between operator's hands and robot's end effector are also developed and embodied in the scenario. the adoption of this setup resulted in a satisfactory safety assurance reaction time, narrowing the safety-related gap regarding the employing of HRC in semi-automated ECs' disassembly. © 2025 the Authors.

关键词： End effectors

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Authentication and Verification in Human-robot Cooperative robotic Cells using Stereo vision and Gesture Control

Authentication and Verification in Human-Robot Cooperative R...

引用

International Image Processing, Applications and Systems conference (IPAS)

作者： Gábor Kovács Tamás Szirányi Machine Perception Research Laboratory HUN-REN Institute for Computer Science and Control Budapest Hungary

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

the integration of human-robot interaction (HRI) technologies with industrial automation has become increasingly essential for enhancing productivity and safety in manufacturing environments. In this paper, we propose a novel approach to address these challenges by using stereo vision and gesture control in cooperative robotic cells. Our system enables seamless authentication of operators and real-time verification of task execution, ensuring compliance with established protocols and safety *** features of our system include its gesture-based operation with gesture recognition algorithms, allowing operators to interact with robotic systems intuitively and efficiently. By leveraging stereo vision, our system accurately tracks the operators’ movement within the workspace, facilitating precise task execution and object *** present a detailed description of our system architecture, experimental configuration, and real-world performance assessment. Our results demonstrate the effectiveness and feasibility of our approach in enhancing operational efficiency, ensuring quality, and improving the overall user experience in industrial automation.

关键词： Automation Service robots Tracking Human-robot interaction Authentication Systems architecture User experience Real-time systems Stereo vision Safety

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Event-based Sensor Fusion and Application on Odometry: A Survey

Event-based Sensor Fusion and Application on Odometry: A Sur...

引用

International Image Processing, Applications and Systems conference (IPAS)

作者： Jiaqiang Zhang Xianjia Yu Ha Sier Haizhou Zhang Tomi Westerlund TIERS Lab University of Turku Turku Finland

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

Event cameras, inspired by biological vision, are asynchronous sensors that detect changes in brightness. they offer notable advantages in environments characterized by high-speed motion, low lighting, or wide dynamic range. these distinctive properties render event cameras particularly effective for sensor fusion in robotics and computer vision, especially in enhancing traditional visual or LiDAR-inertial odometry. Conventional frame-based cameras suffer from limitations such as motion blur and drift, which can be mitigated by the continuous, low-latency data provided by event cameras. Similarly, LiDAR-based odometry encounters challenges related to the loss of geometric information in environments such as corridors. To address these limitations, unlike the existing event camera-related surveys, this survey presents a comprehensive overview of recent advancements in event-based sensor fusion for odometry applications particularly investigating fusion strategies that incorporate frame-based cameras, inertial measurement units, and LiDAR. the survey critically assesses the contributions of these fusion methods to improving odometry performance in complex environments, while highlighting key applications, and discussing the strengths, limitations, and unresolved challenges. Additionally, it offers insights into potential future research directions to advance event-based sensor fusion for next-generation odometry applications.

关键词： Surveys Visualization Laser radar Event detection robot vision systems Sensor fusion Sensor phenomena and characterization Cameras Odometry Next generation networking

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Design and Development of a Rescue robot to Identify Human Presence in Disaster Scenarios by Using Artificial Intelligence Assisted Sensor Support

Design and Development of a Rescue Robot to Identify Human P...

引用

Mobile Computing and Sustainable Informatics (ICMCSI), International conference on

作者： Umamaheswari U. Sajja Suneel K. Ravikumar D. Baburao Shrikant Upadhyay B. Swapna Saveetha school of law Saveetha Institute of Medical and Technical Sciences SIMATS Chennai Department of CSE(Data Science) Institute of Aeronautical Engineering Dundigal Hyderabad Telangana India Dhanalakshmi Srinivasan College of Engineering and Technology Chennai Computer Science and Engineering Vidya Jyothi Institute of Technology (VJIT) Hyderabad Telangana India Department of Electronics and Communication Engineering MLR Institute of Technology Hyderabad India Department of ECE Dr. MGR Educational and Research Institute Chennai

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

In disaster scenarios, rapid and accurate identification of human presence is critical for effective rescue operations. this study presents the design and development of an AI-assisted rescue robot equipped with advanced sensor support for detecting human presence in various disaster environments. the proposed system integrates multiple sensors, including thermal imaging, LiDAR, ultrasonic sensors, and cameras, to gather comprehensive environmental data. A YOLO-based AI model processes this data to identify human presence with high accuracy. the model was trained and validated on diverse datasets simulating real-world disaster conditions. Results show that the proposed model outperforms nine existing models, achieving an average accuracy of 97.3% across four different disaster scenarios. this accuracy is significantly higher compared to the closest competing models, highlighting the robustness and reliability of the proposed system. Additionally, the model demonstrated a precision of 96.7%, a recall of 96.5%, and a response time of 49.5 ms, all of which contribute to its superior performance in time-sensitive and complex environments. the findings suggest that this AI-assisted rescue robot is a promising solution for enhancing the efficiency and effectiveness of search and rescue operations in disaster scenarios.

关键词： Accuracy Rapid thermal processing Disasters robot vision systems thermal sensors Robustness Time factors Artificial intelligence Mobile computing Rescue robots

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Towards Navigation Summaries: Automated Production of a Synopsis of a robot Trajectories

Towards Navigation Summaries: Automated Production of a Syno...

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6th canadian conference on computer and robot vision

作者： Dudek, Gregory Lobos, John-Paul McGill Univ Sch Comp Sci Ctr Intelligent Machines Montreal PQ H3A 2T5 Canada

ISBN: (纸本)9781424442119

In this paper we describe an approach to computing a navigation summary: a visual synopsis of the notable images that characterize a trajectory. We use a combination of PCA and supplementary features to ensure both converge of the trajectory and appearance spaces. the results obtained from a series of experiments are promising and provide us with a method to index and classify video footage from our robot.

关键词： Trajectories

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A robot control and augmented reality interface for multiple robots.

A robot control and augmented reality interface for multiple...

引用

6th canadian conference on computer and robot vision

作者： Fiala, Mark Ryerson Univ Toronto ON Canada

ISBN: (纸本)9781424442119

Augmented reality technology is useful for interaction with robotic devices. A user can see the status of and direct orders to robots in the actual operating environment rather than on a remote computer console. A system is presented where fiducial markers are used for the dual purpose of reading the position of a multi-robot system and for user interaction using augmented reality A user can observe, with the assistance of a hand-held device or wearable eyepiece display the planned motion and tasks of the robots. An intuitive interface allows the robots to be retasked dynamically. A scalable system architecture and a prototype is presented.

关键词： Augmented reality

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Bayesian Tracking of Linear Structures in Aerial Images

Bayesian Tracking of Linear Structures in Aerial Images

引用

6th canadian conference on computer and robot vision

作者： Gao, Rui Bischof, Walter F. Univ Alberta Edmonton AB T6G 2M7 Canada

ISBN: (纸本)9781424442119

the interpretation of aerial images is difficult, especially for low-resolution images. Although solutions have been worked on for many years, performance of these systems is still not sufficient to be useful in practical applications. One potential solution is to create systems composed of many specialized modules. We introduce one such module, a Bayesian tracker for linear structures, such as pipelines and access roads. We show that the tracker can be used successfully to detect these structures in low-resolution images.

关键词： Antennas

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A vision-based Control and Interaction Framework for a Legged Underwater robot

A Vision-based Control and Interaction Framework for a Legge...

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6th canadian conference on computer and robot vision

作者： Sattar, Junaed Dudek, Gregory McGill Univ Ctr Intelligent Machines Montreal PQ H3A 2A7 Canada

ISBN: (纸本)9781424442119

We present a vision-based control and interaction framework for mobile robots, and describe its implementation in a legged amphibious robot. the control scheme enables the robot to navigate, follow targets of interest, and interact with human operators. the visual framework presented in this paper enables deployment of the vehicle in underwater environments along with a human scuba diver as the operator, without requiring any external tethered control. We present the current implementation of this framework in our particular family of underwater robots, with a focus on the underlying software and hardware infrastructure. We look at the practical issues pertaining to system implementation as it applies to our framework, from choice of operating systems to communication bus design. While our system has been effectively used in both open-ocean and closed-water environments, we perform some quantitative measurements with an effort to analyze the responsiveness and robustness of the complete architecture.

关键词： robot vision

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Towards Learning robotic Reaching and Pointing: An Uncalibrated Visual Servoing Approach

Towards Learning Robotic Reaching and Pointing: An Uncalibra...

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6th canadian conference on computer and robot vision

作者： Shademan, Azad Farahmand, Amir-massoud Jaegersand, Martin Univ Alberta Dept Comp Sci ATH 2 21 Edmonton AB T6G 2E8 Canada

ISBN: (纸本)9781424442119

It is desirable for a robot to be able to operate in unstructured environments. In this paper, we demonstrate how a robot can learn primitive skills and we show how to augment them. We formalize 2D-decidable (pointing) and 3D-decidable (reaching) skills within an up:calibrated visual servoing framework. Skill decidability is defined in conjunction with an image-based controller, which has local asymptotic stability In addition, we propose sequential composition of primitive skills to combine pointing and reaching skills in order to increase the accuracy of reaching skill. We use simple primitive tasks such as multi-point alignment and point-to-line alignment. We validate our results with real uncalibrated eye-in-hand experiments with a 4-DOF WAM from Barrett Technology Inc., alongside computer simulations.

关键词： Asymptotic stability

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