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pro vyhledávání: '"Wilson James To"'
A tensor consists of data, $t$, equipped with a multilinear product $\langle t|u_1,\ldots, u_{\ell}\rangle$, called a tensor contraction. Each vector $u_a$ comes from a space $U_a$ called an axis (or mode), the output $\langle t|u_1,\ldots, u_{\ell}\
Externí odkaz:
http://arxiv.org/abs/2408.17425
Autor:
Wilson, James, Champneys, Max D., Tipuric, Matt, Mills, Robin, Wagg, David J., Rogers, Timothy J.
The use of measured vibration data from structures has a long history of enabling the development of methods for inference and monitoring. In particular, applications based on system identification and structural health monitoring have risen to promi
Externí odkaz:
http://arxiv.org/abs/2406.04943
Autor:
Wilson, James T.
Bayesian optimization is a popular framework for efficiently tackling black-box search problems. As a rule, these algorithms operate by iteratively choosing what to evaluate next until some predefined budget has been exhausted. We investigate replaci
Externí odkaz:
http://arxiv.org/abs/2402.16811
The paper develops a novel motion model, called Generalized Multi-Speed Dubins Motion Model (GMDM), which extends the Dubins model by considering multiple speeds. While the Dubins model produces time-optimal paths under a constant-speed constraint, t
Externí odkaz:
http://arxiv.org/abs/2402.01122
Publikováno v:
Proceedings of 2023 IEEE International Conference on Big Data (BigData), page 3405-3412
The automotive industry plays a critical role in the global economy, and particularly important is the expanding Chinese automobile market due to its immense scale and influence. However, existing automotive sector datasets are limited in their cover
Externí odkaz:
http://arxiv.org/abs/2401.05395
Autor:
Cosier, Lucas, Iordan, Rares, Zwane, Sicelukwanda, Franzese, Giovanni, Wilson, James T., Deisenroth, Marc Peter, Terenin, Alexander, Bekiroglu, Yasemin
Publikováno v:
Artificial Intelligence and Statistics, 2024
To control how a robot moves, motion planning algorithms must compute paths in high-dimensional state spaces while accounting for physical constraints related to motors and joints, generating smooth and stable motions, avoiding obstacles, and prevent
Externí odkaz:
http://arxiv.org/abs/2309.00854
Autor:
Wilson, James Michael
We prove a general result implying the $L^2$ stability of Haar decompositions of $L^2({\bf R}^d)$ functions when the Haar functions are distorted by arbitrary, independent, affine changes of variable that are close to the identity. We apply our metho
Externí odkaz:
http://arxiv.org/abs/2307.13550
Autor:
Wilson, James Michael
If $f:{\bf R}^d\to{\bf C}$ is bounded and $f$'s H\"older $\alpha$-modulus of continuity grows no faster than $(1+\vert x\vert)^M$ ($M\geq0$) then, for every $\epsilon>0$, there is a $\beta>0$ such that $f$'s H\"older $\beta$-modulus grows no faster t
Externí odkaz:
http://arxiv.org/abs/2307.09525
Publikováno v:
IEEE Robotics and Automation Letters, 2023
The paper presents an algorithm, called Self-Morphing Adaptive Replanning Tree (SMART), that facilitates fast replanning in dynamic environments. SMART performs risk based tree-pruning if the current path is obstructed by nearby moving obstacle(s), r
Externí odkaz:
http://arxiv.org/abs/2305.06487
Autor:
Abeywickrama, Dhaminda B., Wilson, James, Lee, Suet, Chance, Greg, Winter, Peter D., Manzini, Arianna, Habli, Ibrahim, Windsor, Shane, Hauert, Sabine, Eder, Kerstin
The behaviours of a swarm are not explicitly engineered. Instead, they are an emergent consequence of the interactions of individual agents with each other and their environment. This emergent functionality poses a challenge to safety assurance. The
Externí odkaz:
http://arxiv.org/abs/2302.10292