Results 131 to 140 of about 58,065 (305)
Application of hypergraphs in decomposition of discrete systems
seria: Lecture Notes in Control and Computer Science ; vol ...
Wiśniewska, Monika
core
Low-Diameter Graph Decomposition is in NC
We obtain the first NC algorithm for the low-diameter graph decomposition problem on arbitrary graphs. Our algorithm runs in O(log 5 (n)) time, and uses O(n 2 ) processors. 1 Introduction For an undirected graph G = (V; E), a (Ø; d)-decomposition is
David Peleg +3 more
core +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Efficient clique decomposition of a graph into its atom graph
We explain how to organize the atoms resulting from clique minimal separator decomposition into a metagraph which we call the atom graph, and give an efficient recursive algorithm to compute this graph at no extra cost than computing the ...
Pogorelcnik, Romain +2 more
core +2 more sources
Partitioning a permutation graph: algorithms and an application. [PDF]
In this paper we discuss the problem of partitioning a permutation graph into cliques of bounded size, and describe a real-life application of this problem encountered at a manufacturing company.
Moonen, Linda, Spieksma, Frederik
core
Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis +7 more
wiley +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
A graph decomposition approach to least squares attributed graph matching
A graph decomposition approach to least squares attributed graph ...
J Yang (774823) +2 more
core
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
An iterative structure decomposition learning method for complex Bayesian networks
Bayesian network structure decomposition learning is an advanced method for building complex Bayesian network structure. The methods build an initial graph at one time, then decompose it and learn these sub-graphs, and finally combine all the subgraphs ...
Xiaolong Jia, Hongru Li
doaj +1 more source

