Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Srouji, Mario"'
Human following is a crucial feature of human-robot interaction, yet it poses numerous challenges to mobile agents in real-world scenarios. Some major hurdles are that the target person may be in a crowd, obstructed by others, or facing away from the
Externí odkaz:
http://arxiv.org/abs/2309.12479
Collision avoidance is key for mobile robots and agents to operate safely in the real world. In this work we present SAFER, an efficient and effective collision avoidance system that is able to improve safety by correcting the control commands sent b
Externí odkaz:
http://arxiv.org/abs/2209.11789
Modern computational organic chemistry is becoming increasingly data-driven. There remain a large number of important unsolved problems in this area such as product prediction given reactants, drug discovery, and metric-optimized molecule synthesis,
Externí odkaz:
http://arxiv.org/abs/2007.16012
Autor:
Payne, Josh, Srouji, Mario
Spectral graph theory is a branch of mathematics that studies the relationships between the eigenvectors and eigenvalues of Laplacian and adjacency matrices and their associated graphs. The Variational Quantum Eigensolver (VQE) algorithm was proposed
Externí odkaz:
http://arxiv.org/abs/1912.12366
Central Pattern Generators (CPGs) are biological neural circuits capable of producing coordinated rhythmic outputs in the absence of rhythmic input. As a result, they are responsible for most rhythmic motion in living organisms. This rhythmic control
Externí odkaz:
http://arxiv.org/abs/1901.01994
Publikováno v:
PMLR 80:4742-4751, 2018
In recent years, Deep Reinforcement Learning has made impressive advances in solving several important benchmark problems for sequential decision making. Many control applications use a generic multilayer perceptron (MLP) for non-vision parts of the
Externí odkaz:
http://arxiv.org/abs/1802.08311
Publikováno v:
Proceedings of SPIE; June 2020, Vol. 11391 Issue: 1 p113910I-113910I-15, 11277106p