检索结果-内蒙古大学图书馆

A methodical interpretation of adaptive robotics: Study and reformulation

NEUROCOMPUTING 2022年 512卷 381-397页

作者： Enayati, Amir M. Soufi Zhang, Zengjie Najjaran, Homayoun Univ Victoria Victoria BC V8P 5C2 Canada Univ British Columbia Kelowna BC V1V 1V7 Canada

The recent development of industrial manufacturing and social services has witnessed a significant trend of automation and intelligentization due to the wide application of robots and the technology of artificial intelligence (AI). While robots liberate humans from tedious and dangerous work in hazardous environ-ments, AI simplifies the programming of robots by automatically inferring patterns and models from the interaction between the robots and the environment. Nevertheless, the application of robots and AI to more general manufacturing and social tasks is still limited by the lack of flexibility and adaptability to the changes in the task and the environment. Thus, a new concept, adaptive robotics, has been pro-posed to address the desire that an AI-powered robot should be able to properly reprogram itself to these changes without human intervention. Nevertheless, this concept is yet too abstract to provide any speci-fic guidance to the development of robot programs. In this paper, we attempt to provide methodical redefinition and reformulation of adaptive robotics both in conceptual and mathematical manners based on the study of previous results. First of all, we introduce the essential motivation and the conceptual origination of adaptability of mechanical systems. Then, we review the previous literature and explore the related work of adaptive robotics. Based on this, we provide a uniform mathematical formulation of adaptive robotics based on adaptive and robust Markov-decision process (MDP). Through this work, we attempt to inspire the generic framework of adaptive robotics incorporating the existing immature paradigms, by which we are aiming at a clarified and well-defined context of adaptive robotics for future research on related domains.(c) 2022 Elsevier B.V. All rights reserved.

关键词： adaptive robotics Artificial Intelligence Machine Adaptability Machine Learning Markov Decision Process Industry 4 0

来源：评论

学校读者我要写书评

暂无评论

The construction of 'reality' in the robot: Constructivist perspectives on situated artificial intelligence and adaptive robotics

引用

Foundations of Science 2001年第1-3期6卷 163-233页

作者： Ziemke, Tom Department of Computer Science University of Skövde Box 408 SE-54128 Skövde Sweden

This paper discusses different approaches in cognitive science and artificial intelligence research from the perspective of radical constructivism, addressing especially their relation to the biologically based theories of von Uexküll, Piaget as well as Maturana and Varela. In particular recent work in 'New AI' and adaptive robotics on situated and embodied intelligence is examined, and we discuss in detail the role of constructive processes as the basis of situatedness in both robots and living organisms. © 2001 Kluwer Academic Publishers.

关键词： adaptive robotics Artificial intelligence Embodied cognition Radical constructivism Situatedness

来源：评论

学校读者我要写书评

暂无评论

Self-Maintainable Electronic Materials with Skin-Like Characteristics Enabled by Graphene-PEDOT:PSS Fillers

引用

ADVANCED SCIENCE 2025年

作者： Alehosseini, Morteza Kadumudi, Firoz Babu Revesz, Sinziana Reikandeh, Parham Karimi Henriksen, Jonas Rosager Zsurzsan, Tiberiu-Gabriel Spangenberg, Jon Dolatshahi-Pirouz, Alireza Tech Univ Denmark Dept Hlth Technol DK-2800 Lyngby Denmark Tech Univ Denmark DTU Dept Elect & Photon Engn DK-2800 Lyngby Denmark Tech Univ Denmark Dept Civil & Mech Engn DK-2800 Lyngby Denmark

Conventional devices lack the adaptability and responsiveness inherent in the design of nature. Therefore, they cannot autonomously maintain themselves in natural environments. This limitation is primarily because of using rigid and fragile material components for their construction, which hinders their ability to adapt and evolve in changing environments. Moreover, they often cannot self-repair after injuries or significant damage. Even devices with self-healing, soft, and responsive properties often fail to seamlessly integrate all these attributes into a single, scalable, and cohesive platform. In this study, a significant breakthrough is introduced by utilizing graphene-poly(3,4-ethylenedioxythiophene): polystyrene sulfonate (graphene-PEDOT:PSS) fillers to transform a typically weak, insulating, and jelly-like material into a soft electronic material with properties akin to those of living organisms, such as skin tissue. The developed electronic materials exhibit a range of other capabilities attributed to the hierarchical organization originating from filler enhancement, which includes methods such as heat regulation, 3D printability, and multiplex sensing. The introduction of this new class of materials can facilitate the self-maintenance of life-like soft robots and bioelectronics that can be seamlessly integrated within dynamic environments, such as the human body, while demonstrating the ability to sense, respond, and adapt to challenging environments.

关键词： adaptive robotics bioelectronics graphene-PEDOT self-healing materials soft electronics

来源：评论

学校读者我要写书评

暂无评论

PRIveT - a portable ubiquitous robotics testbed for adaptive human-robot interaction

引用

JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS 2016年第1期8卷 5-19页

作者： Sandygulova, Anara Dragone, Mauro O'Hare, Gregory M. P. Nazarbayev Univ Sch Sci & Technol Astana Kazakhstan Univ Coll Dublin Sch Comp Sci & Informat Dublin 4 Ireland Trinity Coll Dublin Dublin Ireland Univ Coll Dublin Earth Inst Dublin 4 Ireland

Ubiquitous robots are robots integrated with smart environments, where they cooperate with networks of heterogeneous sensors to achieve complex tasks. Their successful application opens important research questions for both their engineering and their interaction with human users, especially in public space scenarios, when they need to interact in a socially acceptable manner with multiple and previously unknown people. This article presents a testbed, named PRIveT, which is purposefully designed to support effective human-robot interaction (HRI) in public spaces. The PRIveT testbed consists of an ubiquitous robotic system that is able to autonomously engage and adapt to its users. This article describes the design rationale of the PRIveT testbed and its technical features, and presents four research studies that have used the testbed extensively. Reflections on the testbed features that were important in these studies and lessons learnt are also discussed. An assessment of the PRIveT testbed in terms of utility of the design for human-robot interaction experiments concludes the paper.

关键词： Human-robot interaction ubiquitous robotics testbed adaptive robotics human perception

来源：评论

学校读者我要写书评

暂无评论

A consideration of the biological and psychological foundations of autonomous robotics

引用

CONNECTION SCIENCE 1998年第3-4期10卷 361-391页

作者： Sharkey, NE Ziemke, T Univ Sheffield Dept Comp Sci Sheffield S1 4DP S Yorkshire England Univ Skovde Dept Comp Sci S-54128 Skovde Sweden

The new wave of robotics aims to provide robots with the capacity to learn, develop and evolve in interaction with their environments using biologically inspired techniques. This work is placed in perspective by considering its biological and psychological basis with reference to some of the grand theorists of living systems. In particular, we examine what it means to have a body by outlining theories of the mechanisms of bodily integration in multicellular organisms and their means of solidarity with the environment. We consider the implications of not having a living body for current ideas on robot learning, evolution, and cognition and issue words of caution about wishful attributions that can smuggle more into observations of robot behaviour than is scientifically supportable. To round off the arguments we take an obligatory swipe at ungrounded artificial intelligence but quickly move on to assess physical grounding and embodiment in terms of the rooted cognition of the living.

关键词： biorobotics embodiment Umwelt grounding rooted cognition robot intelligence adaptive robotics evolutionary robotics

来源：评论

学校读者我要写书评

暂无评论

Predicting apparent personality from body language: benchmarking deep learning architectures for adaptive social human-robot interaction

引用

ADVANCED robotics 2021年第19期35卷 1167-1179页

作者： Romeo, Marta Garcia, Daniel Hernandez Han, Ting Cangelosi, Angelo Jokinen, Kristiina Univ Manchester Dept Comp Sci Manchester Lancs England AIST Tokyo Artificial Intelligence Res Ctr AIRC Tokyo Japan Herriot Watt Univ Sch Math & Comp Sci Edinburgh Midlothian Scotland

First impressions of personality traits can be inferred by non-verbal behaviours such as head pose, body postures, and hand gestures. Enabling social robots to infer the apparent personalities of their users based on such non-verbal cues will allow robots to gain the ability of adapting to their users, constituting a further step towards the personalisation of human-robot interactions. Deep learning architectures such as residual networks, 3D convolutional networks, and long-short time memory networks have been applied to classify human activities and actions in computer vision tasks. These same architectures are beginning to be applied to study human emotions and personality by focusing mainly on facial features in video recordings. In this work, we exploit body language cues to predict apparent personality traits for human-robot interactions. We customised four state-of-the-art neural network architectures to the task, and benchmarked them on a dataset of short side-view videos of dyadic interactions. Our results show the potential for deep learning architectures to predict apparent personality traits from body language cues. While the performance varied between models and personality traits, our results show that these models could still be able to predict sole personality traits, as exemplified by the results on the conscientiousness trait.

关键词： Personality computing deep learning video classification adaptive robotics

来源：评论

学校读者我要写书评

暂无评论

Graph-based meta-learning for context-aware sensor management in nonlinear safety-critical environments

引用

ADVANCED robotics 2024年第6期38卷 368-385页

作者： O'Hara, Christopher Aaron Yairi, Takehisa Univ Tokyo Grad Sch Engn Dept Aeronaut & Astronaut Tokyo Japan

This study introduces a novel framework for optimizing energy efficiency and computational load in safety-critical robotic systems operating in nonlinear domains. Leveraging Graph Attention Networks for state awareness and decision-making, the framework employs adaptive sensor and filter toggling strategies to dynamically manage system resources through real-time inferential processes. Our framework maintains continuous robot operation in the presence of sensor noise and environmental disturbances by activating additional sensors, thus preventing system shutdowns or stalls. Few-shot meta-learning techniques further augment the model's adaptability, allowing it to generalize and make real-time decisions across varying operational conditions. An extensive evaluation reveals a reduced average energy consumption, compared to 'always-on' configurations, by 13.71% and CPU utilization by 29.07%, without compromising system performance and safety. We also introduce Matching Networks and Siamese Networks with different loss functions to assess the system's capability to adapt to different levels of criticality. Our experiments demonstrate that the system prioritizes performance and safety in high-critical scenarios while maximizing energy efficiency in less critical situations. The framework's real-time decision-making capability is particularly crucial in human-robot environments and holds significant implications for future applications in nonlinear control systems and resilient robotic systems. [GRAPHICS] .

关键词： adaptive robotics nonlinear control meta-Learning sensor management human-robot interaction

来源：评论

学校读者我要写书评

暂无评论

QR Code-Based Self-Calibration for a Fault-Tolerant Industrial Robot Arm

引用

IEEE ACCESS 2019年 7卷 73349-73356页

作者： Zhang, Yizheng Zhu, Wangshu Rosendo, Andre ShanghaiTech Univ Sch Informat Sci & Technol Dept Comp Sci Living Machines Labs Shanghai 201210 Peoples R China

Malfunctions on industrial robots can cost factories 22 000 dollars per minute. Although the benefits of a fault-tolerant robot arm are clear, redundant sensors would steeply add to the costs of such robots while machine learning-based methods would spend too much time learning the robot's model. We propose a simple but highly effective method to infer which joint underwent failure and at which angle this joint is constrained and to, then, modify the inverse kinematics (IK) algorithm to adaptively achieve the goal. Our method involves combining the robot arm with a QR code and an inexpensive camera, building a virtual link between these three to give the relative position of the end-effector. Once one joint/encoder/motor suffers damage, we use this virtual link to calibrate this joint by coordinate transformation, to calculate the constrained angle, and to recalculate the trajectory through IK iterations with the Newton-Raphson method. We prove the efficacy of our method with pick-and-place experiments, commonly seen in industrial settings, emulating malfunctions on different joints and at different angles, and our method can successfully finish the task in most cases. We further demonstrate that our method is capable, for almost all of the six-degree-off-reedom manipulators, to adapt to joint failures after suffering an actuator failure. With the steep increase of robots within factories, this paper presents an elegant approach to keep robots functional until maintenance is scheduled, reducing downtime.

关键词： Fault tolerance calibration adaptive robotics QR code robot arm

来源：评论

学校读者我要写书评

暂无评论

CHARLIE : An adaptive Robot Design with Hand and Face Tracking for Use in Autism Therapy

引用

INTERNATIONAL JOURNAL OF SOCIAL robotics 2011年第4期3卷 337-347页

作者： Boccanfuso, Laura O'Kane, Jason M. Univ S Carolina Columbia SC 29208 USA

Basic turn-taking and imitation skills are imperative for effective communication and social interaction (Nehaniv in Imitation and Social Learning in Robots, Springer, New York, 2007). Recently, research has demonstrated that interactive games using turn-taking and imitation have yielded positive results with autistic children who have impaired communication or social skills (Barakova and Brok in Proceedings of the 9th International Conference on Entertainment Computing, pp. 115-126, 2010). This paper describes a robot that plays interactive imitation games using hand and face tracking. The robot is equipped with a head and two arms, each with two degrees of freedom, and a camera. We trained a human hands detector and subsequently, used this detector along with a standard face tracker to create two autonomous interactive games: single-player ("Imitate Me, Imitate You") and two-player ("Pass the Pose".) Additionally, we implemented a third setting in which the robot is teleoperated by remote control. In "Imitate Me, Imitate You", the robot has both passive and active game modes. In the passive mode, the robot waits for the child to initiate an interaction by raising one or both hands. In the second game mode, the robot initiates interactions. The "Pass the Pose" game engages two children in cooperative play by enlisting the robot as a mediator between two children alternately initiating and imitating poses. These games are designed to increase attention, promote turn-taking skills and encourage child-led verbal and nonverbal communication through simple imitative play. This research makes two specific contributions: (1) We present a low-cost robot design which measures and adapts to a child's actions during interactive games and, (2) we train, test and make freely available, a new hand detector, based on Haar-like features, which is usable in various kinds of human-robot interactions. We present proof-of-concept experiments with a group of typically developing childr

关键词： Human-robot interaction Hand detection Hand tracking adaptive robotics

来源：评论

学校读者我要写书评

暂无评论

Towards a model for tool-body assimilation and adaptive tool-use

Towards a model for tool-body assimilation and adaptive tool...

引用

6th IEEE International Conference on Development Learning

作者： Nabeshima, Cota Kuniyoshi, Yasuo Lungarella, Max Univ Tokyo Grad Sch Informat Sci & Technol Dept Mechano Informat Bunkyo Ku Tokyo Japan Univ Tokyo JST ERATO Asada Synergist Intelligence Project Tokyo 1138654 Japan

ISBN: (纸本)9781424411153

It is common experience that, through practice, tools disappear from our awareness. This form of perceptual learning occurs at all stages of life. In this paper we outline a model of "tool-body assimilation" and tool use inspired by recent findings in neuropsychology and neurophysiology. Our model is based on three assumptions: 1) the body schema is plastic and alterable and can extend to incorporate tools;2) objects can be adapted in-situ to act as tools;and 3) tools are used on the base of their functionality. We evaluate our model by instantiating it in a simulated tool-using robot which learns to handle tools of various shapes to retrieve an object placed out of sight and out of reach. We discuss the model's plausibility to explain tool-body assimilation in humans and other tool-using primates.

关键词： tool-use body image/schema extension sensor fusion contingency adaptive robotics embodied intelligence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：