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 +4 more
wiley +1 more source
Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches [PDF]
, 2023 Bruno Machado Pacheco +2 more
openalex +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 +2 more
wiley +1 more source
Spatio-Temporal Capsule Networks for Weakly Supervised Surveillance Video Anomaly Detection
Applied SciencesReal surveillance systems require weakly supervised video anomaly detection due to the fact that long untrimmed videos do not always have accurate temporal labels. Models will be required to label a video as normal or abnormal and also to identify sparse
Mohammed Iqbal Dohan Almurumudhe +1 more
doaj +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
2by2: Weakly-Supervised Learning for Global Action Segmentation
This paper presents a simple yet effective approach for the poorly investigated task of global action segmentation, aiming at grouping frames capturing the same action across videos of different activities. Unlike the case of videos depicting all the same activity, the temporal order of actions is not roughly shared among all videos, making the task ...
Elena Bueno-Benito, Mariella Dimiccoli
openaire +4 more sources
Visibility Estimation Based on Weakly Supervised Learning under Discrete Label Distribution. [PDF]
Sensors (Basel), 2023 Yan Q, Sun T, Zhang J, Xun L.
europepmc +1 more source
A Weakly Supervised Consistency-based Learning Method for COVID-19\n Segmentation in CT Images [PDF]
, 2020 Issam Laradji +8 more
openalex +1 more source
Arthroscope Localization in 3D Ultrasound Volumes Using Weakly Supervised Deep Learning [PDF]
, 2021 Jeroen M. A. van der Burgt +4 more
openalex +1 more source