Results 61 to 70 of about 62,089 (211)

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

Advanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le, Anh Tuan Trong Tran, Ammara Waheed, Tran Thanh Tung, Dusan Losic   +4 more
wiley   +1 more source

Effect of AI empathy perception on employees' prosocial behavior: mediating role of warmth and moderating role of AI anthropomorphism

Frontiers in Psychology
With the rapid advancement of AI technology, an increasing number of organizations are introducing AI as formal employees in the workplace. By conducting hypothesis testing on 400 sample data from eight highly digitalized companies in China, the findings
Jinli Xue, Yuhan Liu, Zengfang Ren, Yige Wu   +3 more
doaj   +1 more source

Human-AI collaboration in Hybrid Multi-Agent Systems [PDF]

International Journal of Electronics and Telecommunications
This paper examines Hybrid Multi-Agent Systems, integrating both human and non-human intelligent agents, as a new subject of management research. It presents original definitions of key concepts: intelligent agents, artificial intelligent agents, and ...
Rafal Labedzki
doaj   +1 more source

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Psychological drivers of employee-ai collaboration and career sustainability: The role of trust, threat, and protean orientation

Acta Psychologica
This study examines how employees' perceptions of AI trust and AI threat shape their collaboration with AI and subsequent career sustainability, grounded in Protection Motivation Theory and Person–Environment Fit Theory.
Ngoc-Hong Duong, Hoang Ngoc Hung, Nguyen Hoai An, Luu Gia Bao, Tran Thao Nguyen, Dao Xuan Quang   +5 more
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

The effects of three different approaches to human–AI collaboration on online collaborative learning

Educational Technology & Society
Online collaborative learning has the potential to help learners of all cultures and languages in the artificial intelligence (AI) age. However, studies on the use of human–AI collaboration to promote online collaborative learning are lacking. This study
Juliana Fosua Gyasi, Lanqin Zheng, Stephen Frank Love, Francis Ohene Boateng
doaj   +1 more source