Tootfinder

Maximal Adaptation, Minimal Guidance: Permissive Reactive Robot Task Planning with Humans in the Loop
Oz Gitelson, Satya Prakash Nayak, Ritam Raha, Anne-Kathrin Schmuck
https://arxiv.org/abs/2510.12662

Maximal Adaptation, Minimal Guidance: Permissive Reactive Robot Task Planning with Humans in the Loop
We present a novel framework for human-robot \emph{logical} interaction that enables robots to reliably satisfy (infinite horizon) temporal logic tasks while effectively collaborating with humans who pursue independent and unknown tasks. The framework combines two key capabilities: (i) \emph{maximal adaptation} enables the robot to adjust its strategy \emph{online} to exploit human behavior for cooperation whenever possible, and (ii) \emph{minimal tunable feedback} enables the robot to request …

Lally Weymouth, who interviewed world leaders for The Washington Post's Opinions section and was the daughter of Katharine Graham, dies at 82 (Harrison Smith/Washington Post)
https://www.washingtonpost.com/obituaries/2025/09/29/lally-weymouth-dea…

Lally Weymouth, Post journalist from storied Graham family, dies at 82
She interviewed world leaders for The Post’s Opinions section, maintaining a longtime connection to the paper that was once run by her mother, Katharine Graham.

Representing Subgrid-Scale Cloud Effects in a Radiation Parameterization using Machine Learning: MLe-radiation v1.0
Katharina Hafner, Sara Shamekh, Guillaume Bertoli, Axel Lauer, Robert Pincus, Julien Savre, Veronika Eyring
https://arxiv.org/abs/2510.05963

Representing Subgrid-Scale Cloud Effects in a Radiation Parameterization using Machine Learning: MLe-radiation v1.0
Improvements of Machine Learning (ML)-based radiation emulators remain constrained by the underlying assumptions to represent horizontal and vertical subgrid-scale cloud distributions, which continue to introduce substantial uncertainties. In this study, we introduce a method to represent the impact of subgrid-scale clouds by applying ML to learn processes from high-resolution model output with a horizontal grid spacing of 5km. In global storm resolving models, clouds begin to be explicitly res…