Results 151 to 160 of about 153,262 (313)

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

Controllable augmentations for video representation learning

open access: yesVisual Intelligence
AbstractThis paper focuses on self-supervised video representation learning. Most existing approaches follow the contrastive learning pipeline to construct positive and negative pairs by sampling different clips. However, this formulation tends to bias the static background and has difficulty establishing global temporal structures. The major reason is
Rui Qian 0001   +3 more
openaire   +2 more sources

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

open access: yesAdvanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang   +5 more
wiley   +1 more source

Promoting student learning with online videos : a research agenda

open access: yes, 2010
Gen Y students are digital natives (Prensky 2001) who learn in complex and diverse ways, with a variety of learning styles apparent in any given course.
Rundle-Thiele, Sharyn   +2 more
core  

OVERVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN DEVELOPING DIGITAL LEARNING RESOURCES

open access: yesTạp chí Khoa học
Developing digital learning materials, especially video lectures, is becoming an important issue in education. The emergence of artificial intelligence (AI) has made the creation of videos easier compared to the traditional approach.
Luong Thi Minh Hue, Nguyen The Vinh, Nguyen Kim Son, Nguyen Van Viet, Do Thi Phuong, Duong Thuy Huong
doaj   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

Automatic annotation for weakly supervised learning of detectors

open access: yes, 2012
PhDObject detection in images and action detection in videos are among the most widely studied computer vision problems, with applications in consumer photography, surveillance, and automatic media tagging. Typically, these standard detectors are fully
Siva, Parthipan
core  

Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval [PDF]

open access: yes, 2009
The rapidly increasing amount of video collections, especially on the web, motivated the need for intelligent automated annotation tools for searching, rating, indexing and retrieval purposes.
Altadmri, Amjad A.   +3 more
core  

Video Inpainting Localization With Contrastive Learning

open access: yesIEEE Signal Processing Letters
arXiv admin note: substantial text overlap with arXiv:2406 ...
Zijie Lou, Gang Cao 0001, Man Lin
openaire   +2 more sources

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

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