Results 141 to 150 of about 29,077 (283)
Hard‐Magnetic Soft Millirobots in Underactuated Systems
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 +4 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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 +2 more
wiley +1 more source
Assessment of data privatization methods under local differential privacy in the banking sector
In today’s data-driven world, protecting personal information has become a critical challenge as organizations increasingly rely on large-scale data collection for decision-making. Local Differential Privacy (LDP) offers a compelling solution by allowing
López Ardila, Laura Valentina
core
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
A Local Distance-Based Differential Privacy Framework for Self-Organizing Maps
Differential privacy (DP) provides a mathematically grounded framework for safeguarding sensitive information in large datasets; however, traditional clustering methods often suffer reduced accuracy under strict privacy constraints. This paper presents a
Fatemeh Amiri +2 more
doaj +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
PEEL: A Poisoning-Exposing Encoding Mechanism for Local Differential Privacy
Local Differential Privacy (LDP) has emerged as a dominant privacy paradigm in the Internet of Things (IoT) due to its lightweight, decentralized and scalable nature.
Lisha Shuai +5 more
doaj +1 more source
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
Conformal prediction (CP) provides sets of candidate classes with a guaranteed probability of containing the true class. However, it typically relies on a calibration set with clean labels. We address privacy-sensitive scenarios where the aggregator is untrusted and can only access a perturbed version of the true labels.
Coby Penso +3 more
openaire +3 more sources
A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
A Survey of Differential Privacy Techniques for Federated Learning
The problem of data privacy protection in the information age deserves people’s attention. As a distributed machine learning technology, federated learning can effectively solve the problem of privacy security and data silos.
Wang Xin +4 more
doaj +1 more source

