Zobrazeno 1 - 10
of 2 565
pro vyhledávání: '"Platt, Robert"'
Autor:
Platt, Robert Davis
Modern computer systems require efficient data transfers involving memory in order to get the best possible performance. However, even the most optimized CPUs take too long to access memory regions, which takes time away from doing the typical comput
Externí odkaz:
https://hdl.handle.net/10919/119205
Autor:
Hu, Boce, Zhu, Xupeng, Wang, Dian, Dong, Zihao, Huang, Haojie, Wang, Chenghao, Walters, Robin, Platt, Robert
While grasp detection is an important part of any robotic manipulation pipeline, reliable and accurate grasp detection in $SE(3)$ remains a research challenge. Many robotics applications in unstructured environments such as the home or warehouse woul
Externí odkaz:
http://arxiv.org/abs/2407.03531
Autor:
Wang, Dian, Hart, Stephen, Surovik, David, Kelestemur, Tarik, Huang, Haojie, Zhao, Haibo, Yeatman, Mark, Wang, Jiuguang, Walters, Robin, Platt, Robert
Recent work has shown diffusion models are an effective approach to learning the multimodal distributions arising from demonstration data in behavior cloning. However, a drawback of this approach is the need to learn a denoising function, which is si
Externí odkaz:
http://arxiv.org/abs/2407.01812
Autor:
Jia, Mingxi, Huang, Haojie, Zhang, Zhewen, Wang, Chenghao, Zhao, Linfeng, Wang, Dian, Liu, Jason Xinyu, Walters, Robin, Platt, Robert, Tellex, Stefanie
Controlling robots through natural language instructions in open-vocabulary scenarios is pivotal for enhancing human-robot collaboration and complex robot behavior synthesis. However, achieving this capability poses significant challenges due to the
Externí odkaz:
http://arxiv.org/abs/2406.15677
Sample efficiency is critical when applying learning-based methods to robotic manipulation due to the high cost of collecting expert demonstrations and the challenges of on-robot policy learning through online Reinforcement Learning (RL). Offline RL
Externí odkaz:
http://arxiv.org/abs/2406.13961
Autor:
Huang, Haojie, Schmeckpeper, Karl, Wang, Dian, Biza, Ondrej, Qian, Yaoyao, Liu, Haotian, Jia, Mingxi, Platt, Robert, Walters, Robin
Humans can imagine goal states during planning and perform actions to match those goals. In this work, we propose Imagination Policy, a novel multi-task key-frame policy network for solving high-precision pick and place tasks. Instead of learning act
Externí odkaz:
http://arxiv.org/abs/2406.11740
Autor:
Webster-Clark, Michael, Matthews, Anthony A., Ellis, Alan R., Kinlaw, Alan C., Platt, Robert W.
Subgroup analyses are common in epidemiologic and clinical research. Unfortunately, restriction to subgroup members to test for heterogeneity can yield imprecise effect estimates. If the true effect differs between members and non-members due to diff
Externí odkaz:
http://arxiv.org/abs/2406.08297
Clone-censor-weighting (CCW) is an analytic method for studying treatment regimens that are indistinguishable from one another at baseline without relying on landmark dates or creating immortal person time. One particularly interesting CCW applicatio
Externí odkaz:
http://arxiv.org/abs/2404.15073
Hyperspectral data acquired by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) have allowed for unparalleled mapping of the surface mineralogy of Mars. Due to sensor degradation over time, a significant portion of the recently acquir
Externí odkaz:
http://arxiv.org/abs/2403.17757
Autor:
Jaman, Ajmery, Wang, Guanbo, Ertefaie, Ashkan, Bally, Michèle, Lévesque, Renée, Platt, Robert W., Schnitzer, Mireille E.
Effect modification occurs when the impact of the treatment on an outcome varies based on the levels of other covariates known as effect modifiers. Modeling of these effect differences is important for etiological goals and for purposes of optimizing
Externí odkaz:
http://arxiv.org/abs/2402.00154