Zobrazeno 1 - 10
of 1 042
pro vyhledávání: '"Paul, H. J."'
Autor:
Bisbas, George, Lydike, Anton, Bauer, Emilien, Brown, Nick, Fehr, Mathieu, Mitchell, Lawrence, Rodriguez-Canal, Gabriel, Jamieson, Maurice, Kelly, Paul H. J., Steuwer, Michel, Grosser, Tobias
Domain Specific Languages (DSLs) increase programmer productivity and provide high performance. Their targeted abstractions allow scientists to express problems at a high level, providing rich details that optimizing compilers can exploit to target c
Externí odkaz:
http://arxiv.org/abs/2404.02218
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2136-2143, March 2024
We present a novel scalable, fully distributed, and online method for simultaneous localisation and extrinsic calibration for multi-robot setups. Individual a priori unknown robot poses are probabilistically inferred as robots sense each other while
Externí odkaz:
http://arxiv.org/abs/2401.15036
Autor:
Bisbas, George, Nelson, Rhodri, Louboutin, Mathias, Luporini, Fabio, Kelly, Paul H. J., Gorman, Gerard
Partial differential equations (PDEs) are crucial in modeling diverse phenomena across scientific disciplines, including seismic and medical imaging, computational fluid dynamics, image processing, and neural networks. Solving these PDEs at scale is
Externí odkaz:
http://arxiv.org/abs/2312.13094
We present the first application of 3D Gaussian Splatting in monocular SLAM, the most fundamental but the hardest setup for Visual SLAM. Our method, which runs live at 3fps, utilises Gaussians as the only 3D representation, unifying the required repr
Externí odkaz:
http://arxiv.org/abs/2312.06741
Autor:
Huawei Qu, Chongjian Gao, Kaizheng Liu, Hongya Fu, Zhiyuan Liu, Paul H. J. Kouwer, Zhenyu Han, Changshun Ruan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Gradient matters with hierarchical structures endow the natural world with excellent integrity and diversity. Currently, direct ink writing 3D printing is attracting tremendous interest, and has been used to explore the fabrication of 1D and
Externí odkaz:
https://doaj.org/article/0d57cc10e3344f26b7350de67417662f
Autor:
Hsueh, Hao-Ya, Toma, Alexandru-Iosif, Jaafar, Hussein Ali, Stow, Edward, Murai, Riku, Kelly, Paul H. J., Saeedi, Sajad
Path planning is an essential component of mobile robotics. Classical path planning algorithms, such as wavefront and rapidly-exploring random tree (RRT) are used heavily in autonomous robots. With the recent advances in machine learning, development
Externí odkaz:
http://arxiv.org/abs/2203.03092
Publikováno v:
IEEE Transactions on Robotics, vol. 40, pp. 121-138, 2024
We show that a distributed network of robots or other devices which make measurements of each other can collaborate to globally localise via efficient ad-hoc peer to peer communication. Our Robot Web solution is based on Gaussian Belief Propagation o
Externí odkaz:
http://arxiv.org/abs/2202.03314
This paper presents a novel, non-standard set of vector instruction types for exploring custom SIMD instructions in a softcore. The new types allow simultaneous access to a relatively high number of operands, reducing the instruction count where appl
Externí odkaz:
http://arxiv.org/abs/2106.07456
Autor:
Toma, Alexandru-Iosif, Hsueh, Hao-Ya, Jaafar, Hussein Ali, Murai, Riku, Kelly, Paul H. J., Saeedi, Sajad
Path planning is a key component in mobile robotics. A wide range of path planning algorithms exist, but few attempts have been made to benchmark the algorithms holistically or unify their interface. Moreover, with the recent advances in deep neural
Externí odkaz:
http://arxiv.org/abs/2105.01777
Focal-plane Sensor-processors (FPSPs) are a camera technology that enable low power, high frame rate computation, making them suitable for edge computation. Unfortunately, these devices' limited instruction sets and registers make developing complex
Externí odkaz:
http://arxiv.org/abs/2101.08715