Results 91 to 100 of about 63,655 (291)

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

Human-AI collaboration by design

Proceedings of the Design Society
AbstractHuman-AI collaboration (HAIC) is a promising strategy to transform engineering design and innovation, yet how to design artificial intelligence (AI) to boost HAIC remains unclear. Accordingly, this paper provides a new, unified, and comprehensive scheme for classifying AI roles.
Binyang Song, Qihao Zhu, Jianxi Luo
openaire   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Collaborative Intelligence: A Scoping Review Of Current Applications

Applied Artificial Intelligence
This review provides a novel examination of the emerging field of collaborative intelligence and demonstrates the value that human-AI teams can deliver. Humans and artificial intelligence (AI) systems have complementary strengths.
Emma Schleiger, Claire Mason, Claire Naughtin, Andrew Reeson, Cecile Paris   +4 more
doaj   +1 more source

Hybrid Continuum Robot Designs and Architectures for Healthcare Applications

Advanced Robotics Research, EarlyView.
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir, Muhammad A. Khalid, Manish Chauhan, Pietro Valdastri, James H. Chandler   +4 more
wiley   +1 more source

Effective Stereotypical Bias Detection: The Impact of Human-AI Collaboration Modes on Human Reliance on AI Recommendation

As artificial intelligence (AI) increasingly supports human decision-making across various domains, from hiring processes to legal judgments, understanding how to optimize human-AI collaboration is crucial for developing trustworthy and effective systems.
Mou, Danlei, Tong, Jiawei, Cui, Tingru, DU, Bo, Holtta-Otto, Katja   +4 more
core   +1 more source

On human-AI collaboration in artistic performance [Elektronisk resurs]

, 2020
Live artistic performance, like music, dance or acting, provides an excellent domain to observe and analyze the mechanisms of human-human collaboration. In this note, we use this domain to study human-AI collaboration.
Fogel, Peter,, Knudsen, Peter,, Thörn, Oscar,, de Miranda, Luis,, Saffiotti, Alessandro,   +4 more
core  

Benefits and Challenges of Collaboration between Students and Conversational Generative Artificial Intelligence in Programming Learning: An Empirical Case Study

Education Sciences
The utilization of conversational generative artificial intelligence (Gen AI) in learning is often seen as a double-edged sword that may lead to superficial learning.
Wanxin Yan, Taira Nakajima, Ryo Sawada
doaj   +1 more source