Physical AI, robots, and autonomous systems
I've been sitting with a question for a while: what happens when AI agents aren't just tools to be used, but participants in an economy? ...
Some insight onto building a muilti agent autonomous system. This is like the daily newspaper for the project. A quick read to see how ou...
![[2603.13846] Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2603.13846: Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video
A hacker exploited a vulnerability in Cline's AI workflow, leading to the installation of OpenClaw, highlighting significant security ris...
The article discusses China's advancements in AI, particularly through the lens of AI-powered kung fu robots, highlighting the technologi...
Freeform has raised $67 million in Series B funding to enhance its AI-driven metal 3D printing technology, aiming to scale production and...
This edition of The Download covers advancements in autonomous narco submarines, ethical concerns surrounding AI chatbots, and the evolvi...
This paper introduces View Invariant Learning (VIL) for enhancing Vision-Language Navigation in Continuous Environments (VLNCE), addressi...
This paper explores the effectiveness of test-time verification over policy learning in enhancing Vision-Language-Action (VLA) alignment,...
This paper explores the integration of vision-language models in autonomous driving, focusing on safety assessment and decision-making th...
This article presents a novel approach to inverting non-injective functions using Twin Neural Network Regression, focusing on locally inv...
The paper presents FreqPolicy, a novel flow-based visuomotor policy that enhances efficiency in robotic manipulation by imposing frequenc...
The paper presents FindAnything, a framework for open-vocabulary and object-centric mapping that enhances robot exploration in unknown en...
The paper presents Cocoa, a system designed to enhance human-agent collaboration in AI tasks by allowing flexible co-planning and co-exec...
The paper presents RoboSpatial, a dataset aimed at enhancing spatial understanding in robotics by providing 2D and 3D vision-language mod...
The paper presents XENON, an advanced agent for robust planning in Minecraft that utilizes experience-based knowledge correction to impro...
PLAICraft introduces a large-scale dataset capturing time-aligned vision, speech, and action data from multiplayer Minecraft, aimed at ad...
The article presents SurgRAW, a multi-agent workflow utilizing Chain of Thought reasoning for enhanced robotic surgical video analysis, a...
This paper presents CLIP-MHAdapter, a novel contrastive learning framework that enhances street-view image classification by using attent...
RoboGene introduces a framework for automating the generation of diverse, physically plausible robotic manipulation tasks, addressing the...
This paper presents MoMa-SG, a framework for creating semantic-kinematic 3D scene graphs to enhance mobile manipulation of articulated ob...
The paper presents SIT-LMPC, a novel algorithm for safe information-theoretic learning model predictive control tailored for robots perfo...
The paper introduces DreamZero, a World Action Model (WAM) that enhances zero-shot policy learning for robotic tasks by predicting future...
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