Zobrazeno 1 - 10
of 910
pro vyhledávání: '"Brown, Ross A."'
Trigger points and high growth firms: the vital role of founder “sensing” and “seizing” capabilities
Publikováno v:
International Journal of Entrepreneurial Behavior & Research, 2023, Vol. 30, Issue 1, pp. 1-22.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJEBR-05-2023-0533
Autor:
Cowling, Marc, Brown, Ross
Publikováno v:
In Papers in Regional Science October 2024 103(5)
Publikováno v:
In Journal of Rural Studies October 2024 111
Publikováno v:
In Journal of Business Research January 2025 186
We propose a novel iterative approach for crossing the reality gap that utilises live robot rollouts and differentiable physics. Our method, RealityGrad, demonstrates for the first time, an efficient sim2real transfer in combination with a real2sim m
Externí odkaz:
http://arxiv.org/abs/2109.04674
The large demand for simulated data has made the reality gap a problem on the forefront of robotics. We propose a method to traverse the gap by tuning available simulation parameters. Through the optimisation of physics engine parameters, we show tha
Externí odkaz:
http://arxiv.org/abs/2003.01369
We present a benchmark to facilitate simulated manipulation; an attempt to overcome the obstacles of physical benchmarks through the distribution of a real world, ground truth dataset. Users are given various simulated manipulation tasks with assigne
Externí odkaz:
http://arxiv.org/abs/1911.01557
Autor:
McQuillan, Jonathan S., Alrefaey, Ahmed, Turner, Andrew D., Morrell, Nadine, Stoner, Oliver, Brown, Ross, Kay, Suzanne, Cooke, Simon, Bage, Timothy
Publikováno v:
In Harmful Algae September 2023
Akademický článek
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Autor:
Peterson, Erin E, Santos-Fernández, Edgar, Chen, Carla, Clifford, Sam, Vercelloni, Julie, Pearse, Alan, Brown, Ross, Christensen, Bryce, James, Allan, Anthony, Ken, Loder, Jennifer, González-Rivero, Manuel, Roelfsema, Chris, Caley, M. Julian, Bednarz, Tomasz, Mengersen, Kerrie
Numerous organisations collect data in the Great Barrier Reef (GBR), but they are rarely analysed together due to different program objectives, methods, and data quality. We developed a weighted spatiotemporal Bayesian model and used it to integrate
Externí odkaz:
http://arxiv.org/abs/1808.05298