Results 151 to 160 of about 166,051 (304)
Multi-focus image fusion dataset and algorithm test in real environment
Shuaiqi Liu +12 more
doaj +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
A Multi-Module Fusion Framework for Restoring Human and Machine Vision Quality in Compressed Video. [PDF]
He K, Xiang K, Gao Y, Yu Y, Zhou J.
europepmc +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Machine Vision and Human Vision
openaire +2 more sources
reservedIn modern industrial environment, robotics plays a critical role in automating tasks such as assembly, inspection, and material handling, where performance is heavily based on computer vision.
SIMOVIC, MILAN
core
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza +3 more
wiley +1 more source
A machine vision dataset for automated quality inspection and grading of sweetpotatoes. [PDF]
Zhang J, Lu Y, Xu J.
europepmc +1 more source
Visuomotor Understanding for Representation Learning of Driving Scenes
1
Donggeun Yoo +6 more
core
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 +3 more
wiley +1 more source

