Results 231 to 240 of about 4,822,114 (362)

Dedicated dataset of Sapota (Manilkara zapota) fruit for machine vision applications. [PDF]

Data Brief
Bhatt A, Joshi M.
europepmc   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

A Machine Vision Perspective on Droplet-Based Microfluidics. [PDF]

Adv Sci (Weinh)
Wang JX, Wang H, Lai H, Liu FX, Cui B, Yu W, Mao Y, Yang M, Yao S.   +8 more
europepmc   +1 more source

Digitalisation, Growth Vision and Gender Equality Practices in the Machines and Equipment Sector – Does Gender Matter?

Lazar Živković, Dijana Štrbac, Mihailo Paunović   +2 more
openalex   +2 more sources

MV-SSRP: Machine Vision Approach for Stress–Strain Measurement in Rice Plants [PDF]

Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey Kuzmin, И. В. Герасимов, Xiangping Cheng   +5 more
openalex   +1 more source

Origami‐Inspired Structural Design for Aquatic‐Terrestrial Amphibious Robots

Advanced Robotics Research, EarlyView.
This work presents a lightweight amphibious origami robot actuated by a single shape memory alloy wire. A rigid foldable origami structure with displacement amplification enables efficient terrestrial crawling and aquatic swimming. The addition of fan‐shaped units allows controllable turning in both environments.
Weiqi Liu, Chunlong Wang, Xiaohang Sun, Hongwei Guo, Jiayao Ma, Yan Chen   +5 more
wiley   +1 more source

Hybrid feature-based machine vision method for objective evaluation of textile pilling and fuzzing. [PDF]

PLoS One
Jiao Q, Qian Z, Dong Y, He B.
europepmc   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

A multimodal fusion model for predicting the roasting-induced crispness of walnut kernels using machine vision, hyperspectral imaging, and electronic nose. [PDF]

Curr Res Food Sci
Fu J, Dai D, Huang S, Xie J, He Y, Dong C, Xia K, Zheng J, Chen S.   +8 more
europepmc   +1 more source

Retracted: A Novel Framework for Automation Technology Based on Machine Vision and Robotics in Electrical Power Inspection Processing [PDF]

Applied Bionics And Biomechanics
openalex   +1 more source