Results 171 to 180 of about 4,330,076 (296)
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Menstrual Exile: Nepal's Chhaupadi and the Policy-Practice Divide. [PDF]
Ghimire A.
europepmc +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
China has issued a series of policies around the three-dimensional stratification of sea area use right, and has achieved certain practical achievements.
GU Bojun +4 more
doaj
The changing neglected tropical disease landscape in Africa: implications for policy, practice, and strengthening health systems. [PDF]
Downs P, Tate A, Harvey D, Baker MC.
europepmc +1 more source
Poverty and mental health: policy, practice and research implications. [PDF]
Knifton L, Inglis G.
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
Neonatal Twin Cobedding: A Mixed Method Study of Policy, Practice and Staff Perceptions in Australia. [PDF]
Mann P, Foster J, Psaila K, Schmied V.
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

