Future Opportunities for Systematic AI Support in Healthcare DOI Creative Commons

Markus Bertl,

Gunnar Piho, Dirk Draheim

и другие.

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 203 - 224

Опубликована: Окт. 30, 2024

Язык: Английский

Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics DOI Creative Commons
Jakub Krejčí, Marek Babiuch, Jiří Suder

и другие.

Sensors, Год журнала: 2025, Номер 25(3), С. 765 - 765

Опубликована: Янв. 27, 2025

This article focuses on the integration of Internet Things (IoT) and Robotic Things, representing a dynamic research area with significant potential for industrial applications. The (IoRT) integrates IoT technologies into robotic systems, enhancing their efficiency autonomy. provides an overview used in IoRT, including hardware components, communication technologies, cloud services. It also explores IoRT applications industries such as healthcare, agriculture, more. discusses challenges future directions, data security, energy efficiency, ethical issues. goal is to raise awareness importance demonstrate how this technology can bring benefits across various sectors.

Язык: Английский

Процитировано

2

On design of cognitive situation-adaptive autonomous mobile robotic applications DOI Creative Commons
Daniel Pakkala,

Niko Känsäkoski,

Tapio Heikkilä

и другие.

Computers in Industry, Год журнала: 2025, Номер 167, С. 104263 - 104263

Опубликована: Фев. 18, 2025

Процитировано

1

A Computational Model of Hybrid Trunk-like Robots for Synergy Formation in Anticipation of Physical Interaction DOI Creative Commons
Pietro Morasso

Biomimetics, Год журнала: 2025, Номер 10(1), С. 21 - 21

Опубликована: Янв. 2, 2025

Trunk-like robots have attracted a lot of attention in the community researchers interested general field bio-inspired soft robotics, because trunk-like arms may offer high dexterity and adaptability very similar to elephants potentially quite superior traditional articulated manipulators. In view practical applications, integration hydrostatic segment with hard-articulated segment, i.e., hybrid kinematic structure elephant’s body, is probably best design framework. It proposed that this should occur at conceptual/cognitive level before being implemented specific technologies, including related control paradigms. The modeling approach based on passive motion paradigm (PMP), originally conceived for addressing degrees freedom problem highly redundant, structures. shown can be naturally extended from redundant hyper-redundant structures, structures include hard component. PMP model force-based, not motion-based, it characterized by two main computational modules: Jacobian matrix chain compliance maps generalized force fields into coordinated gestures whole-body model. how modulation used synergy formation process, which coordinates nature body and, same time, preparation trunk tip stable physical interaction environment, agreement impedance–control concept.

Язык: Английский

Процитировано

0

Editorial to the Special Issue “The Resonant Brain: A Themed Issue Dedicated to Professor Stephen Grossberg” DOI Creative Commons
Birgitta Dresp, Luiz Pessoa

Information, Год журнала: 2025, Номер 16(3), С. 234 - 234

Опубликована: Март 16, 2025

This Special Issue offers a collection of research and model approaches to fundamental principles, mechanisms, architectures closely linked the conceptual foundations contemporary neural network laid down by Stephen Grossberg [...]

Язык: Английский

Процитировано

0

From robots to chatbots: unveiling the dynamics of human-AI interaction DOI Creative Commons
Albert Łukasik, Arkadiusz Gut

Frontiers in Psychology, Год журнала: 2025, Номер 16

Опубликована: Апрель 9, 2025

The rapid integration of artificial agents-robots, avatars, and chatbots-into human social life necessitates a deeper understanding human-AI interactions their impact on interaction. Artificial agents have become integral across various domains, including healthcare, education, entertainment, offering enhanced efficiency, personalization, emotional connectivity. However, effectiveness in providing successful interaction is influenced by factors that both reception responses during present article explores how different forms these influence processes essential for interaction, such as attributing mental states intentions shaping emotions. goal this paper to analyze the roles can cannot assume environments, stances humans adopt toward them, dynamics human-artificial agent interactions. Key associated with agent's design physical appearance, adaptability behavior, user beliefs knowledge, transparency cues, uncanny valley phenomenon been selected significant AI contexts.

Язык: Английский

Процитировано

0

Neural Simulation of Actions for Serpentine Robots DOI Open Access
Pietro Morasso

Опубликована: Июнь 24, 2024

Neural or mental simulation of actions is a powerful tool for allowing cognitive agents to develop Prospection Capabilities that are crucial learning and memorizing key aspects challenging skills. In previous studies we developed an approach based on the animation redundant human Body Schema Passive Motion Paradigm (PMP). this paper show can be easily extended hyper-redundant serpentine robots as well hybrid configurations where robot functionally integrated with traditional skeletal infrastructure. A model analyzed in detail showing it incorporates spatio-temporal features discovered biomechanical biological hydrostats like elephant trunk octopus tentacles. It proposed such generative internal basis architecture appropriate robots, independent underlying design control technologies. Although robotic have received lot attention last decades, great majority research activities been focused actuation/sensorial/material technologies support hyperredundant soft related methodologies. The level analysis has limited motion planning, without addressing synergy formation metal time travel. This contribution on.

Язык: Английский

Процитировано

2

Advances in Human–Machine Interaction, Artificial Intelligence, and Robotics DOI Open Access
J. Ernesto Solanes, Luis Gracia, Jaime Valls Miró

и другие.

Electronics, Год журнала: 2024, Номер 13(19), С. 3856 - 3856

Опубликована: Сен. 29, 2024

The convergence of artificial intelligence (AI), robotics, and immersive technologies such as augmented reality (AR), virtual (VR), extended (XR) is transforming the way humans interact with machines [...]

Язык: Английский

Процитировано

2

Collaborative Robots with Cognitive Capabilities for Industry 4.0 and Beyond DOI Creative Commons
Giulio Sandini, Alessandra Sciutti, Pietro Morasso

и другие.

AI, Год журнала: 2024, Номер 5(4), С. 1858 - 1869

Опубликована: Окт. 9, 2024

The robots that entered the manufacturing sector in second and third Industrial Revolutions (IR2 IR3) were designed for carrying out predefined routines without physical interaction with humans. In contrast, IR4* (i.e., since IR4 beyond) are supposed to interact humans a cooperative way enhancing flexibility, autonomy, adaptability, thus dramatically improving productivity. However, human–robot cooperation implies cognitive capabilities (CoBots) market do not have. common wisdom is such lack can be filled straightforward by integrating well-established ICT technologies new AI technologies. This short paper expresses view this approach promising suggests different one based on artificial cognition rather than intelligence, founded concepts of embodied cognition, developmental robotics, social robotics. We suggest giving these according principles name CoCoBots. also addresses ethical problems raised cases critical emergencies. normal operating conditions, CoCoBots human partners, starting from individual evaluations, will routinely develop joint decisions course action taken through mutual understanding explanation. case decision cannot reached and/or limited an emergency detected declared top security levels, we ultimate decision-making power, associated responsibility, should rest side, at levels organized structure.

Язык: Английский

Процитировано

2

Neural Simulation of Actions for Serpentine Robots DOI Creative Commons
Pietro Morasso

Biomimetics, Год журнала: 2024, Номер 9(7), С. 416 - 416

Опубликована: Июль 7, 2024

The neural or mental simulation of actions is a powerful tool for allowing cognitive agents to develop Prospection Capabilities that are crucial learning and memorizing key aspects challenging skills. In previous studies, we developed an approach based on the animation redundant human body schema, Passive Motion Paradigm (PMP). this paper, show can be easily extended hyper-redundant serpentine robots as well hybrid configurations where robot functionally integrated with traditional skeletal infrastructure. A model analyzed in detail, showing it incorporates spatio-temporal features discovered biomechanical studies biological hydrostats, such elephant trunk octopus tentacles. It proposed generative internal could basis architecture appropriate robots, independent underlying design control technologies. Although robotic hydrostats have received lot attention recent decades, great majority research activities been focused actuation/sensorial/material technologies support soft/serpentine related methodologies. level analysis has limited motion planning, without addressing synergy formation time travel. This what paper on.

Язык: Английский

Процитировано

0

Self Tuning Control of Combustion Engine Speed and Pressure Based on Adaptive Particle Swarm Optimization DOI
Ahtisham Urooj, Sami El Ferik

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0