Tootfinder

Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
Wenbo Zhang, Tianrun Hu, Yanyuan Qiao, Hanbo Zhang, Yuchu Qin, Yang Li, Jiajun Liu, Tao Kong, Lingqiao Liu, Xiao Ma
https://arxiv.org/abs/2506.09990

Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
We present Chain-of-Action (CoA), a novel visuo-motor policy paradigm built upon Trajectory Autoregressive Modeling. Unlike conventional approaches that predict next step action(s) forward, CoA generates an entire trajectory by explicit backward reasoning with task-specific goals through an action-level Chain-of-Thought (CoT) process. This process is unified within a single autoregressive structure: (1) the first token corresponds to a stable keyframe action that encodes the task-specific goals…

It's Robert Reich.
Congress just passed Donald Trump's big, ugly megabill.
Republicans stole from the poor and gave to the rich.
They must pay the price at the ballot box.
The midterm elections start now,
and Inequality Media Civic Action is launching a major effort to make sure the working people screwed over by this bill know who's to blame.
We want to raise $200,000 in the next 24 hours to get started.
Please, chip in $50, $25, or e…

Help Robert Reich get the truth out.
Anything you can give will help us spread the truth, keep you informed, and stop our slide towards fascism.

So @… announced an upgrade for #ActionText with "No #Trix".

Jorge Manrubia
A huge editor upgrade is in the works for Action Text. No Trix, no House, no Tiptap, no ProseMirror. A drop-in replacement that will take rich text editing to the next level in Rails, and lay a foundation far better than anything we ever had with Trix. We will start using it internally in the new product this week. We’ll test, we’ll polish, and we’ll ship. (Yes, I’m shamelessly teasing here. And yes, I am VERY excited about this one)

Mexican President Claudia Sheinbaum said Wednesday that her administration is investigating contamination from a #SpaceX facility near the Mexican border in South Texas, and planning its next course of action: https://www.krgv.com/news/mexico-probes-contamination-from-spacex-rocket-explosion-that-landed-in-its-territory. Possible SpaceX debris causing environmental concern on Mexican side of the border: https://www.krgv.com/videos/possible-spacex-debris-causing-environmental-concern-on-mexican-side-of-the-border/ (with video).

BunnyBall !
I am super exited to announce my latest game: BunnyBall.
Super cute and cozy action in this arcade mix of pinball and breakout!
You can collect new animal balls to play in over 50 levels!
Available on Steam Next Fest June 9th! Wishlist now!
https://store.steampowered.com…

This https://arxiv.org/abs/2505.21906 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
Vision-language-action (VLA) models have emerged as the next generation of models in robotics. However, despite leveraging powerful pre-trained Vision-Language Models (VLMs), existing end-to-end VLA systems often lose key capabilities during fine-tuning as the model adapts to specific robotic tasks. We argue that a generalizable VLA model should retain and expand upon the VLM's core competencies: 1) Open-world embodied reasoning - the VLA should inherit the knowledge from VLM, i.e., recognize a…

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation
Zhen Gong, Zhifang Fan, Hui Lu, Qiwei Chen, Chenbin Zhang, Lin Guan, Yuchao Zheng, Feng Zhang, Xiao Yang, Zuotao Liu
https://arxiv.org/abs/2506.16942

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation
Sequential recommendation, a critical task in recommendation systems, predicts the next user action based on the understanding of the user's historical behaviors. Conventional studies mainly focus on cross-behavior modeling with self-attention based methods while neglecting comprehensive user interest modeling for more dimensions. In this study, we propose a novel sequential recommendation model, Pyramid Mixer, which leverages the MLP-Mixer architecture to achieve efficient and complete modelin…

This https://arxiv.org/abs/2412.03293 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning
In this paper, we present DiffusionVLA, a novel framework that seamlessly combines the autoregression model with the diffusion model for learning visuomotor policy. Central to our approach is a next-token prediction objective, enabling the model to reason effectively over the user's query in the context of current observations. Subsequently, a diffusion model is attached to generate robust action outputs. To enhance policy learning through self-reasoning, we introduce a novel reasoning injectio…

Dynamic Optimal Transport with optimal star shaped graphs
Marcello Carioni, Juliane Krautz, Jan-F. Pietschmann
https://arxiv.org/abs/2506.15007 https://

Dynamic Optimal Transport with optimal star shaped graphs
We study an optimal transport problem in a compact convex set $Ω\subset\mathbb{R}^d$ where bulk transport is coupled to dynamic optimal transport on a metric graph $ \mathsf{G} = (\mathsf{V},\mathsf{E})$ which is embedded in $Ω$. We prove existence of solutions for fixed graphs. Next, we consider varying graphs, yet only for the case of star-shaped ones. Here, the action functional is augmented by an additional penalty that prevents the edges of the graph to overlap. This allows to preserve t…