Results 151 to 160 of about 1,542,087 (312)
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Computing Inequality: Have Computers Changed the Labor Market?
David H. Autor +2 more
semanticscholar +1 more source
Immigrant Inflows, Native Outflows, and the Local Labor Market Impacts of Higher Immigration
David Card
semanticscholar +1 more source
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi +3 more
wiley +1 more source
Randomized controlled trial on the effect of the peanut ball devices on the duration of active labor, labor pain and comfort. [PDF]
Hoyladı E, Yıldırım Varışoğlu Y.
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
Effect of low-dose esketamine combined with labor analgesia on postpartum depressive symptoms following spontaneous labor: a randomized controlled trial. [PDF]
Gao J +9 more
europepmc +1 more source
The Growing Importance of Social Skills in the Labor Market
David J. Deming
semanticscholar +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

