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Development and Hybrid Control of an Electrically Actuated Lower Limb Exoskeleton for Motion Assistance

Chao-Feng Chen, Zhi-Jiang Du, Long He, Yong-Jun Shi et al. • IEEE Access (2019)

This paper describes a system design and hybrid control algorithm of an electrically actuated lower limb exoskeleton (LLE). The system design mainly includes three parts: mechanical structure design, actuation system design and sensor syste...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2019.2953302

An Input-Perceptual Reconstruction Adversarial Network for Paired Image-to-Image Conversion

Aamir Khan, Weidong Jin, Muqeet Ahmad, Rizwan Ali Naqvi et al. • Sensors (2020)

Image-to-image conversion based on deep learning techniques is a topic of interest in the fields of robotics and computer vision. A series of typical tasks, such as applying semantic labels to building photos, edges to photos, and raining t...

DOAJ Open Access (DOAJ) DOI: 10.3390/s20154161

Fundamentals of Computer Vision

Wesley E. Snyder, Hairong Qi • Cambridge University Press eBooks (2017)

Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mat...

OPENALEX DOI: https://doi.org/10.1017/9781316882641

Computer Vision Meets Educational Robotics

Aphrodite Sophokleous, Panayiotis Christodoulou, Lefteris Doitsidis, Savvas A. Chatzichristofis • Electronics (2021)

Educational robotics has gained a lot of attention in the past few years in K-12 education. Prior studies have shown enough shreds of evidence and highlight the benefits of educational robotics as being effective in providing impactful lear...

OPENALEX cc-by DOI: https://doi.org/10.3390/electronics10060730

A survey of public datasets for computer vision tasks in precision agriculture

Yuzhen Lu, Sierra N. Young • Computers and Electronics in Agriculture (2020)

Computer vision technologies have attracted significant interest in precision agriculture in recent years. At the core of robotics and artificial intelligence, computer vision enables various tasks from planting to harvesting in the crop pr...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.compag.2020.105760

Problems In Indoor Mapping and Modelling

S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2013)

Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprsarchives-XL-4-W4-63-2013

Quaternions in Computer Vision and Robotics

Edward Pervin, Jon A. Webb • Defense Technical Information Center (DTIC) (1982)

Computer vision and robotics suffer from not having good tools for manipulating three-dimensional objects. Vectors, coordinate geometry, and trigonometry all have deficiencies. Quaternions can be used to solve many of these problems. Many p...

OPENALEX DOI: https://doi.org/10.21236/ada125076

Enabling scalable inspection of offshore mooring systems using cost-effective autonomous underwater drones

Dong Trong Nguyen, Christian Lindahl Elseth, Jakob Rude Øvstaas, Nikolai Arntzen et al. • Frontiers in Robotics and AI (2025)

As aquaculture expands to meet global food demand, it remains dependent on manual, costly, infrequent, and high-risk operations due to reliance on high-end Remotely Operated Vehicles (ROVs). Scalable and autonomous systems are needed to ena...

DOAJ Open Access (DOAJ) DOI: 10.3389/frobt.2025.1655242

A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu et al. • Frontiers in Robotics and AI (2016)

Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep learning techniques have offered a compelling alternative -- th...

OPENALEX cc-by DOI: https://doi.org/10.3389/frobt.2015.00036