Results 141 to 150 of about 1,071,903 (285)
Collision of Hypopharyngeal Small-Cell Neuroendocrine Carcinoma and Laryngeal Squamous Cell Carcinoma at the Aryepiglottic Fold: Case Report and Review of Literature. [PDF]
Mladenovic N +6 more
europepmc +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
Daily quality assurance, system and procedure-specific commissioning of a bore-based optical surface imaging system for surface-guided radiotherapy (SGRT). [PDF]
Li G +10 more
europepmc +1 more source
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
Preliminary result for the rupture process of Nov.13, 2017, Mw7.3 earthquake at Iran-Iraq border
WeiMin Wang +3 more
doaj +1 more source
Quadratic programming-based autonomous cruise control of an intelligent tugboat. [PDF]
He H, Peng T, Li H, Huang D, Liu C.
europepmc +1 more source
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
Fast sensorless collision detection for resource-constrained pmsm controllers using an FFRLS-based method. [PDF]
Zhao D, Ren T, Huang G, Liu M.
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Untargeted Multiple Reaction Monitoring. [PDF]
Uritboonthai W +17 more
europepmc +1 more source

