Results 121 to 130 of about 4,332,216 (307)
Greenflation: Impacts on Public Policy and Economic Stability
The study examined the phenomenon of greenflation and its implications for public policy and economic stability. Greenflataion refers to the rising costs of goods and services due to environmental policies and green transitions.
Daffa Syafiq Nurjaman
doaj +1 more source
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
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
Fiscal Policy as a Stabilization Instrument [PDF]
This paper investigates the role of the fiscal authority in the case in which a negative shock hits the economic system. We analyze the several kinds of behavior that the fiscal authority can adopt during a crisis and show how the various approaches impact upon the effectiveness of fiscal policy. In general, there are two approaches: a) Adopt a neutral
openaire
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
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

