Zobrazeno 1 - 10
of 7 213
pro vyhledávání: '"LEE, ROBERT"'
Affordances are central to robotic manipulation, where most tasks can be simplified to interactions with task-specific regions on objects. By focusing on these key regions, we can abstract away task-irrelevant information, simplifying the learning pr
Externí odkaz:
http://arxiv.org/abs/2410.12124
Autor:
Dürholt, Johannes P., Asche, Thomas S., Kleinekorte, Johanna, Mancino-Ball, Gabriel, Schiller, Benjamin, Sung, Simon, Keupp, Julian, Osburg, Aaron, Boyne, Toby, Misener, Ruth, Eldred, Rosona, Costa, Wagner Steuer, Kappatou, Chrysoula, Lee, Robert M., Linzner, Dominik, Walz, David, Wulkow, Niklas, Shafei, Behrang
Our open-source Python package BoFire combines Bayesian Optimization (BO) with other design of experiments (DoE) strategies focusing on developing and optimizing new chemistry. Previous BO implementations, for example as they exist in the literature
Externí odkaz:
http://arxiv.org/abs/2408.05040
Autor:
Qing, Jixiang, Langdon, Becky D, Lee, Robert M, Shafei, Behrang, van der Wilk, Mark, Tsay, Calvin, Misener, Ruth
We consider the problem of optimizing initial conditions and timing in dynamical systems governed by unknown ordinary differential equations (ODEs), where evaluating different initial conditions is costly and there are constraints on observation time
Externí odkaz:
http://arxiv.org/abs/2406.02352
Observing stars and satellites in optical wavelengths during the day (optical daytime astronomy) has begun a resurgence of interest. The recent dramatic dimming event of Betelgeuse has spurred interest in continuous monitoring of the brightest variab
Externí odkaz:
http://arxiv.org/abs/2405.16465
Robust optimisation is a well-established framework for optimising functions in the presence of uncertainty. The inherent goal of this problem is to identify a collection of inputs whose outputs are both desirable for the decision maker, whilst also
Externí odkaz:
http://arxiv.org/abs/2405.10221
The goal of multi-objective optimisation is to identify the Pareto front surface which is the set obtained by connecting the best trade-off points. Typically this surface is computed by evaluating the objectives at different points and then interpola
Externí odkaz:
http://arxiv.org/abs/2405.01404
Autor:
Ikeda, Takuya, Zakharov, Sergey, Ko, Tianyi, Irshad, Muhammad Zubair, Lee, Robert, Liu, Katherine, Ambrus, Rares, Nishiwaki, Koichi
This paper addresses the challenging problem of category-level pose estimation. Current state-of-the-art methods for this task face challenges when dealing with symmetric objects and when attempting to generalize to new environments solely through sy
Externí odkaz:
http://arxiv.org/abs/2402.12647
Autor:
Folch, Jose Pablo, Tsay, Calvin, Lee, Robert M, Shafei, Behrang, Ormaniec, Weronika, Krause, Andreas, van der Wilk, Mark, Misener, Ruth, Mutný, Mojmír
Bayesian optimization is a methodology to optimize black-box functions. Traditionally, it focuses on the setting where you can arbitrarily query the search space. However, many real-life problems do not offer this flexibility; in particular, the sear
Externí odkaz:
http://arxiv.org/abs/2402.08406
Learning-based grasp detectors typically assume a precision grasp, where each finger only has one contact point, and estimate the grasp probability. In this work, we propose a data generation and learning pipeline that can leverage power grasping, wh
Externí odkaz:
http://arxiv.org/abs/2312.11804
Autor:
Charlton-Perez, Andrew J., Dacre, Helen F., Driscoll, Simon, Gray, Suzanne L., Harvey, Ben, Harvey, Natalie J., Hunt, Kieran M. R., Lee, Robert W., Swaminathan, Ranjini, Vandaele, Remy, Volonté, Ambrogio
There has been huge recent interest in the potential of making operational weather forecasts using machine learning techniques. As they become a part of the weather forecasting toolbox, there is a pressing need to understand how well current machine
Externí odkaz:
http://arxiv.org/abs/2312.02658