Results 131 to 140 of about 2,720,618 (349)
Elastic Fast Marching Learning from Demonstration
Advanced Intelligent Systems, EarlyView.This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Enhanced Pre-processing and Parameterization Process of Generic Code Clone Detection Model for Clones in Java Applications [PDF]
, 2020 Nur Nadzirah Mokhtar +2 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
Efficient Reactive Navigation with Exact Collision Determination for 3D Robot Shapes
International Journal of Advanced Robotic Systems, 2015 This paper presents a reactive navigator for wheeled mobile robots moving on a flat surface which takes into account both the actual 3D shape of the robot and the 3D surrounding obstacles. The robot volume is modelled by a number of prisms consecutive in
Mariano Jaimez +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net
, 2017 We propose a novel method to directly learn a stochastic transition operator whose repeated application provides generated samples. Traditional undirected graphical models approach this problem indirectly by learning a Markov chain model whose stationary
Bengio, Yoshua +3 more
core
On Hardness of Approximation of Parameterized Set Cover and Label Cover: Threshold Graphs from Error Correcting Codes [PDF]
, 2021 C. S. Karthik, Livni-Navon Inbal
openalex +1 more source
Soft Robotic Sim2Real via Conditional Flow Matching
Advanced Intelligent Systems, EarlyView.A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi +6 more
wiley +1 more source
Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing
Advanced Intelligent Systems, EarlyView.Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner +2 more
wiley +1 more source