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检索条件"任意字段=Conference on Next-Generation Robots and Systems"

共 419 条记录，以下是11-20 订阅

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WHAT MAKES A (RO)BOT SMART? EXAMINING THE ANTECEDENTS OF PERCEIVED INTELLIGENCE IN THE CONTEXT OF USING PHYSICAL robots, SOFTWARE robots, AND CHATBOTS AT WORK 43

WHAT MAKES A (RO)BOT SMART? EXAMINING THE ANTECEDENTS OF PER...

引用

43rd International conference on Information systems: Digitization for the next generation, ICIS 2022

作者： Makkonen, Markus Salo, Markus Pirkkalainen, Henri University of Jyvaskyla Jyvaskyla Finland Tampere University Tampere Finland

ISBN: (纸本)9781713893615

In recent years, the acceptance and use of intelligent robots and other kinds of intelligent systems have begun to gain more and more attention also in information systems research. Here, many studies have found the perceived intelligence of robots to act as one critical antecedent for their acceptance and use, but few studies have focused on the antecedents of perceived intelligence itself. In this study, we aimed to address this gap in prior research by examining the effects of individual intelligence dimensions on the overall intelligence perception of robots in the work context. In addition, we also examined the potential differences in these effects as well as in the individual intelligence dimensions and overall intelligence perception themselves between three common types of robots: physical robots, software robots, and chatbots. These examinations were based on online survey data from 1,080 present or prior users of robots at work. In summary, we found that adaptability, personality, autonomy, and multifunctionality act as the most influential antecedents of perceived intelligence in the case of all three types of robots. In addition, we also found that software robots and chatbots perform better than physical robots in most individual intelligence dimensions and in overall intelligence perception. © 2022 International conference on Information systems, ICIS 2022: "Digitization for the next generation". All Rights Reserved.

关键词： Intelligent systems

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Optimization Design and Exploration of Locomotion Posture for Serpentine Pipeline robots 3

Optimization Design and Exploration of Locomotion Posture fo...

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3rd International conference on Intelligent Computing and next generation Networks, ICNGN 2024

作者： Li, Zhichao Zhang, Chunguang Liu, Jiarui Li, Shangqing Chu, Shuai Gong, Yingjiao Geng, Wei R&D center SINOMACH Sensing Technology Co. Ltd. National Engineering Research Center Of Transducer Shenyang China SINOMACH Sensing Technology Co. Ltd. National Engineering Research Center Of Transducer Shenyang China

ISBN: (纸本)9798331529222

During the inspection process of seamless steel tubes, the circumferential dynamic deviation of the multi-hub serpentine robot complicates the accurate estimation and control of its axial operating state. To address this challenge, this paper introduces an innovative control method integrating an improved discrete PID with IMU feedback, and thoroughly examines its fundamental principles, modeling strategies, and simulation analyses. This system boasts low overshoot, high steady-state accuracy, and swift response, all while minimizing the occupation of system resources, which is advantageous for realizing time-sharing control by the superordinate system. Additionally, the system is capable of dynamically adjusting the hub motors with minimal control cycles, effectively preventing motor vibrations and severe overheating issues. ©2024 IEEE.

关键词： Three term control systems

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(How)does occupational identity change due to co-working with robots? 43

(How)does occupational identity change due to co-working wit...

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43rd International conference on Information systems: Digitization for the next generation, ICIS 2022

作者： Smailhodzic, Edin Nijgh, Alexandra Marije University of Groningen Netherlands

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Single-Rod Brachiation Robot

Single-Rod Brachiation Robot

引用

IEEE/RSJ International conference on Intelligent robots and systems (IROS)

作者： Akahane, Hijiri Mizuuchi, Ikuo Tokyo Univ Agr & Technol Dept Mech Syst Engn Koganei Tokyo Japan

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

In this paper, we propose a new brachiation robot, a single-rod brachiation robot. Brachiation is a method of locomotion that makes clever use of gravity and has been tried to apply to robots. Conventional brachiation robots are multiple-pendulum-like robots that mimic a gibbon. Although the multiple-pendulum-like robot can easily change the length of one brachiation step by joints, it has complex structures and generates aperiodic motions such as chaos. In contrast, the single-rod brachiation robot has the advantages of simple structure and the ability to suppress complex multiplependulum trajectories. The single-rod brachiation robot has a disadvantage because it is difficult to adjust the distance to the next bar. However, we can solve it by aerial brachiation, which includes an aerial phase before grasping the next bar. Using the actual robot, we showed that the swinging amplitude could be increased by appropriately moving its center of gravity like a trapeze motion. In addition, using this, we achieved continuous brachiation across three bars and brachiation including the aerial phase with a flight distance of 140 mm.

关键词： Wind energy generation Resistance Wind Grasping Trajectory Mechanical energy robots

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Good Robot, Bad Robot: Customer Responses to Norm-Compliant and Norm-Violating Service robots 43

Good Robot, Bad Robot: Customer Responses to Norm-Compliant ...

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43rd International conference on Information systems: Digitization for the next generation, ICIS 2022

作者： Stock-Homburg, Ruth Maria Heitlinger, Lea Technical University of Darmstadt Hochschulstraße 1 Darmstadt64289 Germany

ISBN: (纸本)9781713893615

Service robots that interact with customers have penetrated various industries. With a basis in social identity theory, this study examines how customers respond to frontline service robots (FSRs) by investigating norm-compliant versus norm-violating behaviors compared with similar behaviors by human frontline employees (FLEs). In experimental studies, a black sheep effect occurs, such that customers downgrade norm-violating FLE behaviors more than similar behaviors by FSRs. They also upgrade norm-compliant behaviors by human FLEs more than those of FSRs. In service failures, this effect manifests as greater anger and frustration toward the FLE. We establish the underlying mechanism driving the black sheep effect: customers assign FSRs to an outgroup but categorize FLEs to their social ingroup, across different service encounters and independent of interaction frequency. © 2022 International conference on Information systems, ICIS 2022: "Digitization for the next generation". All Rights Reserved.

关键词： Information use

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EMPLOYEES' CHALLENGES AND NEEDS FOR RESKILLING WHEN WORKING WITH SOFTWARE robots 43

EMPLOYEES' CHALLENGES AND NEEDS FOR RESKILLING WHEN WORKING ...

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43rd International conference on Information systems: Digitization for the next generation, ICIS 2022

作者： Venermo, Kaisa Lampi, Anna Salo, Markus Pirkkalainen, Henri University of Jyväskylä Jyväskylä Finland Tampere University Tampere Finland

ISBN: (纸本)9781713893615

Software robots are becoming increasingly adopted in different industries. The growing rate of automatization will affect more and more people and will result in changes in businesses of all sizes. Impacts can be observed at both the organizational and individual employee levels. A growing number of studies of software robots' advantages and disadvantages on an organizational or industry-specific level have been carried out. However, there is limited knowledge about the employees' perceptions of challenges and new skills needed when working with software robots. This study addresses this gap by using open-ended questionnaire responses from employees who have worked with software robots. This study aims to contribute to prior knowledge by identifying comprehensive sets of subcategories for employees' perceptions of (1) the challenges as well as (2) the new skills needed when working with software robots. As practical implications, our findings can help organizations and individual workers prepare for the implementation and use of software robots by identifying potential challenges, planning for overcoming such challenges via suitable skills, and providing training for employees. According to our findings, many respondents mentioned learning new technical skills as a challenge, and because they have had to work with software robots, they have acquired additional knowledge, such as basic programming skills. Challenges related to reskilling constitute an interesting topic for further research. © 2022 International conference on Information systems, ICIS 2022: "Digitization for the next generation". All Rights Reserved.

关键词： Robot programming

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ROS 2 Application to the Safety Monitoring of Collaborative robots 4

ROS 2 Application to the Safety Monitoring of Collaborative ...

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4th International conference on Robotics, Automation, and Artificial Intelligence, RAAI 2024

作者： Lim, Dong-Won Noh, Jackyou The University of Suwon Department of Mechanical Engineering Hwaseong Korea Republic of Kunsan National University Department of Naval Architecture Gunsan Korea Republic of

ISBN: (纸本)9798331520038

This paper presents the application of a safety monitoring algorithm for collaborative robots (cobots). Cobots become increasingly common in various workplaces, such as manufacturing lines and even restaurant kitchens. The heavy-duty robots can assist human operators by handling heavy loads, reducing the physical strain of the job. However, safety concerns arise due to the close proximity and direct interaction between cobots and humans. To ensure real-time monitoring of potential accidents, this paper considers the use of a redundant fault detection algorithm. This algorithm relies on comparing outputs from redundant systems or sensor data with the actual robot's performance. Any significant discrepancy between these values signals a potential fault in the robot, triggering an accident alarm. In this study, the Gazebo simulator was employed as the redundant system. Gazebo is a widely-used, open-source 3D robotics simulator that integrates seamlessly with ROS (Robot Operating System). ROS 2, the next generation of ROS, serves as the middleware framework for building and executing robotic applications. The heavy-duty robot was modeled in Gazebo and controlled through ROS 2 nodes for communication and operation. A synthetic fault was introduced in one of the robot's joints, and another Gazebo simulation acted as the real system. Joint positions were monitored, and any deviation from normal operations signaled the presence of a fault. Consequently, integrating Gazebo with ROS 2 provides an effective analytical model to compare against real systems for safety monitoring purposes. © 2024 IEEE.

关键词： Middleware

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Multi-modal Sensor Fusion for Learning Rich Models for Interacting Soft robots

Multi-modal Sensor Fusion for Learning Rich Models for Inter...

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IEEE International conference on Soft Robotics (RoboSoft)

作者： Thuruthel, Thomas George Iida, Fumiya Univ Cambridge Dept Engn Bioinspired Robot Lab Cambridge England UCL Dept Comp Sci Gower St London WC1E 6BT England

ISBN: (纸本)9798350332223

Soft robots are typically approximated as low-dimensional systems, especially when learning-based methods are used. This leads to models that are limited in their capability to predict the large number of deformation modes and interactions that a soft robot can have. In this work, we present a deep-learning methodology to learn high-dimensional visual models of a soft robot combining multimodal sensorimotor information. The models are learned in an end-to-end fashion, thereby requiring no intermediate sensor processing or grounding of data. The capabilities and advantages of such a modelling approach are shown on a soft anthropomorphic finger with embedded soft sensors. We also show that how such an approach can be extended to develop higher level cognitive functions like identification of the self and the external environment and acquiring object manipulation skills. This work is a step towards the integration of soft robotics and developmental robotics architectures to create the next generation of intelligent soft robots.

关键词： Deep learning

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Singularity-Free Approximate Waypoint Tracking Controller for Underactuated Magnetic robots 4

Singularity-Free Approximate Waypoint Tracking Controller fo...

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4th Modeling, Estimation, and Control conference (MECC)

作者： Raval, Suraj Bhattacharjee, Anuruddha Chen, Xinhao Mair, Lamar Krieger, Axel Diaz-Mercado, Yancy Univ Maryland Mech Engn Dept College Pk MD 20742 USA Johns Hopkins Univ Lab Computat Sensing & Robot Baltimore MD 21218 USA Weinberg Med Phys Inc Div Magnet Manipulat & Particle Res North Bethesda MD 20852 USA

Magnetic robots use external magnetic fields to draw energy, generating steering capabilities crucial for minimally invasive surgeries and enabling next generation untethered surgical tool miniaturization. However, accurate control is challenging due to configuration-dependent singularities in the manipulation Jacobian, which can cause unsafe behavior with standard controls. We analyze the nonlinear nature of magnetic fields to understand singularity-free control limits without adding more magnetic actuators, which increases bulk and cost. Using Chow's Theorem, we study the motion feasibility of a single magnetic robot moving in a plane, powered by stationary electromagnets. We determine the degree of nonholonomy for an underactuated case and show that any desired motion in the state-space can be approximated with more complex controls. We deploy an approximate-tracking controller to steer a magnetic robot between any two points in the state-space, avoiding singularities. Simulations show a 0.82 mm RMS positional tracking error for an 8 mm long cylindrical magnetic tool using our method. Copyright (c) 2024 The Authors.

关键词： Magnetic robots Nonlinear Control systems Robotics Path Planning and Motion Control Robot Manipulators

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Artificial cognitive functions towards AI-enabled collaborative robots 23

Artificial cognitive functions towards AI-enabled collaborat...

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16th ACM International conference on Pervasive Technologies Related to Assistive Environments (PETRA)

作者： Zouganeli, Evi Lentzas, Athanasios OsloMet Oslo Metropolitan Univ Oslo Norway Aristotle Univ Thessaloniki Thessaloniki Greece

ISBN: (纸本)9798400700699

In this paper we discuss work in progress and our approach to next generation robotics. The use of cognitive architectures can overcome some of the challenges encountered when Artificial Intelligence (AI) algorithms are introduced to robotic systems. New cognitive functionality is required to that end. We discuss system requirements that are currently not sufficiently addressed, and present our current work.

关键词： AI-enabled robotics artificial cognition robotics intelligent systems

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