Fiber Bragg Gratings (FBG) are used widely for that it is small and sensitive. It is suitable to insert a sensor based on FBGs to some narrow cavities. At the same time, a slender continuum structure requires tiny sen...
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The dental implant surgery robot is currently one of the hot topics in dental implant technology research. This study proposed a dental implant robot system based on binocular vision navigation and presented the basic...
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The overview explores self-driving vehicles and how they work, focusing on something called SLAM technology and Computer Vision. We look at different ways to make sure these vehicles know where they are and what's...
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The use of artificial intelligence (AI) in robotics, particularly in the advancement of gaming robotics, has drawn a lot of interest as technological and scientific developments continue to advance. This innovation op...
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Gait is an emerging biometric trait, and gait prediction is a process that enables the prediction of the motion state of the human lower limb based on image features, joint angles, or human kinematic metrics. This art...
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作者:
Karegoudra, ShilpaVeeresha, R.K.
Department of Computer Science and Engineering Udupi574110 India
Department of Robotics and Artificial Intelligence Udupi574110 India
The gesture-based communication system proves highly valuable for individuals who are almost deaf and discourse disabled. It allows them to convey messages effectively through gestures. The objective of this applicati...
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In the field of service robotics, multi-object rearrangement is an indispensable skill, extensively employed in various tasks such as desk clearing, shelf organizing, or furniture arrangement. Traditionally, achieving...
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ISBN:
(纸本)9798350370010;9798350370003
In the field of service robotics, multi-object rearrangement is an indispensable skill, extensively employed in various tasks such as desk clearing, shelf organizing, or furniture arrangement. Traditionally, achieving multi-object rearrangement involves complex steps including precise object recognition, spatial planning, and fine-grained motion control. These methods are not only time-consuming but also struggle to adapt to dynamic environments. Recently, Large Language Models (LLMs) have been gaining increasing attention in the field of artificial intelligence, and their integration with robotic technologies has opened new possibilities for multi-object rearrangement. Our proposed approach leverages the advanced features of LLMs to acquire commonsense knowledge about semantically effective object configurations related to multi-object rearrangement. We then employ LLMs for task planning, resorting to traditional methods only in the final stage for actualizing specific arrangement actions. By combining LLMs with traditional techniques, our method significantly simplifies the process of multi-object rearrangement tasks for robots. Furthermore, our approach demonstrates adaptability to dynamic environments, thereby expanding the potential applications of service robots in real-world settings.
Industry 4.0 has witnessed the rise of complex robots fueled by the integration of Artificial Intelligence/Machine Learning (AI/ML) and Digital Twin (DT) technologies. While these technologies offer numerous benefits,...
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ISBN:
(纸本)9798350386714;9798350386707
Industry 4.0 has witnessed the rise of complex robots fueled by the integration of Artificial Intelligence/Machine Learning (AI/ML) and Digital Twin (DT) technologies. While these technologies offer numerous benefits, they also introduce potential privacy and security risks. This paper surveys privacy attacks targeting robots enabled by AI and DT models. Exfiltration and data leakage of ML models are discussed in addition to the potential extraction of models derived from first-principles (e.g., physics-based). We also discuss design considerations with DT-integrated robotics touching on the impact of ML model training, responsible AI and DT safeguards, data governance and ethical considerations on the effectiveness of these attacks. We advocate for a trusted autonomy approach, emphasizing the need to combine robotics, AI, and DT technologies with robust ethical frameworks and trustworthiness principles for secure and reliable AI robotic systems.
The project aims to replicate a human bow, beginning with the sampling of 30 individuals of varying genders and ages through an Image Processing procedure. It identified six Degrees of Freedom (DOFs) as critical for a...
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The project aims to replicate a human bow, beginning with the sampling of 30 individuals of varying genders and ages through an Image Processing procedure. It identified six Degrees of Freedom (DOFs) as critical for accurate motion replication. The next phase involved approximating these motions' trajectories. A Dynamic model was used to calculate the motor torques, taking into account the robot's weight from component specs and materials. Brushless motors were chosen for their excellent control performance, low noise, minimal vibrations, and efficient heat dissipation, essential for reducing fatigue. The paper concludes by detailing the engineering process behind the structure of the dummy. This includes conducting Finite Element Method (FEM) analysis, constructing the robot, and performing tests to validate its functionality and performance. Through these steps, the project successfully mimics human bowing motions, showcasing the potential of integrating advanced robotics with precise motion capture and dynamic modeling techniques.
Relocalization after track loss in Visual Simultaneous Localization and Mapping (Visual SLAM) is a critical challenge in robotics, especially for autonomous mobile robots navigating dynamic environments. This paper in...
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