Results 151 to 160 of about 3,282,695 (356)
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
Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling. [PDF]
Nanomaterials (Basel), 2023 Albright T, Hobeck J.
europepmc +1 more source
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
Stochastic Modeling of Smartphones GNSS Observations Using LS-VCE and Application to Samsung S20. [PDF]
Sensors (Basel), 2023 Zangenehnejad F, Gao Y.
europepmc +1 more source
Stochastic Models for the Chemostat
, 2011 The chemostat is classically represented, at high popula- tion scale, as a system of ordinary differential equations. Our goal is to establish a set of stochastic models that are valid at different scales. At a microscopic scale we present a pure jump stochastic model that gives rise, at the macroscopic scale, to the ordinary differential equation ...
Campillo, Fabien +2 more
openaire +2 more sources
Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems
Advanced Robotics Research, EarlyView.A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley +1 more source
Stochastic modeling and simulations of particle/droplet-laden turbulent flows.
, 2003 Stochastic modeling and simulations of particle/droplet-laden turbulent ...
Zhaosheng. Gao (7987175)
core +1 more source
Optimal-transport flow matching for stochastic model ipdating
Tairan Wang, Sifeng Bi
openalex +1 more source
Correction: Stochastic models of natural selection with competition [PDF]
Agner Fog
openalex +1 more source