Tootfinder

"Star Trek" für die Medizin: Forschung will CAR-T-Therapie direkt im Krankenhaus
Forscher wollen im Projekt EASYGEN die CAR-T-Zell-Therapie revolutionieren und eine schnelle Produktion direkt im Krankenhaus ermöglichen.

EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa, Pranav Kuppili, Lawrence Y. Zhu, Simar Kareer, Judy Hoffman, Danfei Xu
https://arxiv.org/abs/2509.19626

EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
Egocentric human experience data presents a vast resource for scaling up end-to-end imitation learning for robotic manipulation. However, significant domain gaps in visual appearance, sensor modalities, and kinematics between human and robot impede knowledge transfer. This paper presents EgoBridge, a unified co-training framework that explicitly aligns the policy latent spaces between human and robot data using domain adaptation. Through a measure of discrepancy on the joint policy latent featu…

Bien que depuis des années mes enfants n'exigent plus une berceuse avant de se coucher, j'identifie tellement avec cette chanson. Elle reste hypnotique, même après que le saxo se met Š hurler.
Myriam Gendron, « Berceuse » (2024)
https://myriamgendron.bandcamp.com/track/berceu…

Les recomiendo la lectura de esta nota en la RollingStone en español sobre el clima de violencia actual. Se refiere particularmente a Argentina, pero es extrapolable a lo que ocurre en Chile y en muchas otras partes del mundo.
#Argentina #Violencia

Llevamos desde el miércoles huyendo de Villalba porque son las fiestas y entre algún cohete de mšs (que este año estamos escuchando pocos) y los conciertos que ponen la música como si nos gustara lo que tocan, no hay perra que esté agusto en el barrio.
Ayer estuvimos por La Jarosa, el jueves en el embalse de Navacerrada... Hoy nos vamos a ver restos arqueológicos. Mandaré fotos mañana.

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/5]:
- Challenges and Trends in Egocentric Vision: A Survey
Li, Qiu, Wang, Zhang, Qi, Han, Xiong, Li

On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances
Sayak Mukherjee, Ramij R. Hossain, Mahantesh Halappanavar
https://arxiv.org/abs/2509.16746

On the System Theoretic Offline Learning of Continuous-Time LQR with Exogenous Disturbances
We analyze offline designs of linear quadratic regulator (LQR) strategies with uncertain disturbances. First, we consider the scenario where the exogenous variable can be estimated in a controlled environment, and subsequently, consider a more practical and challenging scenario where it is unknown in a stochastic setting. Our approach builds on the fundamental learning-based framework of adaptive dynamic programming (ADP), combined with a Lyapunov-based analytical methodology to design the algo…

VisualMimic: Visual Humanoid Loco-Manipulation via Motion Tracking and Generation
Shaofeng Yin, Yanjie Ze, Hong-Xing Yu, C. Karen Liu, Jiajun Wu
https://arxiv.org/abs/2509.20322

VisualMimic: Visual Humanoid Loco-Manipulation via Motion Tracking and Generation
Humanoid loco-manipulation in unstructured environments demands tight integration of egocentric perception and whole-body control. However, existing approaches either depend on external motion capture systems or fail to generalize across diverse tasks. We introduce VisualMimic, a visual sim-to-real framework that unifies egocentric vision with hierarchical whole-body control for humanoid robots. VisualMimic combines a task-agnostic low-level keypoint tracker -- trained from human motion data vi…

OmniScene: Attention-Augmented Multimodal 4D Scene Understanding for Autonomous Driving
Pei Liu, Hongliang Lu, Haichao Liu, Haipeng Liu, Xin Liu, Ruoyu Yao, Shengbo Eben Li, Jun Ma
https://arxiv.org/abs/2509.19973

OmniScene: Attention-Augmented Multimodal 4D Scene Understanding for Autonomous Driving
Human vision is capable of transforming two-dimensional observations into an egocentric three-dimensional scene understanding, which underpins the ability to translate complex scenes and exhibit adaptive behaviors. This capability, however, remains lacking in current autonomous driving systems, where mainstream approaches primarily rely on depth-based 3D reconstruction rather than true scene understanding. To address this limitation, we propose a novel human-like framework called OmniScene. Fir…

Moving by Looking: Towards Vision-Driven Avatar Motion Generation
Markos Diomataris, Berat Mert Albaba, Giorgio Becherini, Partha Ghosh, Omid Taheri, Michael J. Black
https://arxiv.org/abs/2509.19259