Results 131 to 140 of about 112,689 (295)
Advanced Robotics Research, EarlyView.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
Consistent Testing for Poverty Dominance [PDF]
poverty, stochastic dominance, random poverty line ...
Thuysbaert, Bram, Zitikis, Ricardas
core
Tests for Almost Stochastic Dominance
Journal of Business & Economic StatisticsWe introduce a 2-dimensional stochastic dominance (2DSD) index to characterize both strict and almost stochastic dominance. Based on this index, we derive an estimator for the minimum violation ratio (MVR), also known as the critical parameter, of the almost stochastic ordering condition between two variables.
Baíllo, Amparo +2 more
openaire +2 more sources
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Advanced Robotics Research, EarlyView.Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source
Testing for Third-Order Stochastic Dominance with Diversification Possibilities [PDF]
We derive an empirical test for third-order stochastic dominance that allows fordiversification between choice alternatives. The test can be computed usingstraightforward linear programming.
Post, G.T.
core +1 more source
Advanced Robotics Research, EarlyView.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
Portfolio Optimization With Stochastic Dominance Constraints [PDF]
We consider the problem of constructing a portfolio of finitely many assets whose returns are described by a discrete joint distribution. We propose a new portfolio optimization model involving stochastic dominance constraints on the portfolio return. We
Andrzej Ruszczynski, Darinka Dentcheva
core
Advanced Science, EarlyView.A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie +7 more
wiley +1 more source
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
On a Graded Version of Stochastic Dominance
Atlantis Studies in Uncertainty Modelling, 2021 Raúl Pérez-Fernández +3 more
openaire +1 more source