Results 41 to 50 of about 451,378 (309)
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
CPS cascade failure model construction and path optimization for novel power system
Diance yu yibiaoThe proportion of new energy in novel power system is gradually increasing, leading to a development trend of low carbonization, intelligence, diversification, safety and economy in novel power system, and an increasing demand for network security.
HE Tianling +3 more
doaj +1 more source
OPPORTUNITY FOR INCREASING THE PRODUCTION OF RUMINANTS, SUCH AS CATTLE, BUFFALOES, SHEEP AND GOATS IN THE FOOT-HILL AND MOUNTAIN REGIONS OF BULGARIA [PDF]
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2023 This paper investigates the current state of production from cattle, buffaloes, sheep and goats in the hilly, foot-hilly and mountain regions of Bulgaria, as well as the opportunities for its increase.
Tsvetan MARKOV
doaj
On the semantics of Markov automata [PDF]
Information and Computation, 2011 Markov automata describe systems in terms of events which may be nondeterministic, may occur probabilistically, or may be subject to time delays. We define a novel notion of weak bisimulation for such systems and prove that this provides both a sound and complete proof methodology for a natural extensional behavioural equivalence between such systems ...
Yuxin Deng 0001, Matthew Hennessy
openaire +1 more source
Advanced Robotics Research, EarlyView.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
Clinical Epidemiology, 2022 Brian Bloudek,1 Heidi S Wirtz,2 Zsolt Hepp,2 Jack Timmons,1 Lisa Bloudek,1 Caroline McKay,3 Matthew D Galsky4 1Curta Inc., Seattle, WA, USA; 2Seagen Inc., Bothell, WA, USA; 3Astellas Pharma Global Development, Inc., Northbrook, IL, USA; 4Tisch Cancer ...
Bloudek B +6 more
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Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Advanced Robotics Research, EarlyView.Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Health and Social Care Delivery ResearchBackground There is a substantial variation in the use of home dialysis between kidney services, which disproportionally affects people from ethnic minorities and socioeconomically deprived areas.
Simon Davies +11 more
doaj +1 more source
Proceedings, 2022 This paper is aimed to present the concept “Quality of information” in the frame of the General Information Theory (GIT).
Krassimir Markov
doaj +1 more source
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Advanced Robotics Research, EarlyView.Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source