Tootfinder

Bills Hard Knocks Week 2 takeaways: Damar Hamlin inspires, Buffalo Joe gets the spotlight https://www.nytimes.com/athletic/6550378/2025/08/13/bills-hard-knocks-episode-2-buffalo-joe-damar-hamlin/

Bills star hypes Cowboys newcomer stealing the show at training camp https://www.si.com/nfl/cowboys/news/bills-star-hypes-dallas-cowboys-newcomer-stealing-show-training-camp

Look as You Leap: Planning Simultaneous Motion and Perception for High-DOF Robots
Qingxi Meng, Emiliano Flores, Carlos Quintero-Pe\~na, Peizhu Qian, Zachary Kingston, Shannan K. Hamlin, Vaibhav Unhelkar, Lydia E. Kavraki
https://arxiv.org/abs/2509.19610

Look as You Leap: Planning Simultaneous Motion and Perception for High-DOF Robots
In this work, we address the problem of planning robot motions for a high-degree-of-freedom (DoF) robot that effectively achieves a given perception task while the robot and the perception target move in a dynamic environment. Achieving navigation and perception tasks simultaneously is challenging, as these objectives often impose conflicting requirements. Existing methods that compute motion under perception constraints fail to account for obstacles, are designed for low-DoF robots, or rely on…

Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models
Sreejato Chatterjee, Linh Tran, Quoc Duy Nguyen, Roni Kirson, Drue Hamlin, Harvest Aquino, Hanjia Lyu, Jiebo Luo, Timothy Dye
https://arxiv.org/abs/2509.15216

Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models
Traditional efforts to measure historical structural oppression struggle with cross-national validity due to the unique, locally specified histories of exclusion, colonization, and social status in each country, and often have relied on structured indices that privilege material resources while overlooking lived, identity-based exclusion. We introduce a novel framework for oppression measurement that leverages Large Language Models (LLMs) to generate context-sensitive scores of lived historical…

Guided Diffusion for the Discovery of New Superconductors
Pawan Prakash, Jason B. Gibson, Zhongwei Li, Gabriele Di Gianluca, Juan Esquivel, Eric Fuemmeler, Benjamin Geisler, Jung Soo Kim, Adrian Roitberg, Ellad B. Tadmor, Mingjie Liu, Stefano Martiniani, Gregory R. Stewart, James J. Hamlin, Peter J. Hirschfeld, Richard G. Hennig
https://ar…

Guided Diffusion for the Discovery of New Superconductors
The inverse design of materials with specific desired properties, such as high-temperature superconductivity, represents a formidable challenge in materials science due to the vastness of chemical and structural space. We present a guided diffusion framework to accelerate the discovery of novel superconductors. A DiffCSP foundation model is pretrained on the Alexandria Database and fine-tuned on 7,183 superconductors with first principles derived labels. Employing classifier-free guidance, we s…