Physical AI, robots, and autonomous systems
The company turns footage from robots into structured, searchable datasets with a deep learning model.
Everyone talks about AI models, but the real bottleneck might be hardware. According to a recent study by Roots Analysis: AI chip market ...
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? ...
Scout AI is developing AI agents designed for military applications, including autonomous drones capable of lethal strikes, raising ethic...
Amazon has discontinued its Blue Jay robotics project after less than six months, citing the intention to repurpose its core technology f...
At the India AI Impact Summit 2026, Galgotias University presented a Unitree Go2 robot dog, a Chinese product, as an Indian innovation, l...
The article reviews three books exploring our reliance on predictive algorithms, examining their implications on society and individual a...
![[2511.14624] Active Matter as a framework for living systems-inspired Robophysics](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This article explores the intersection of active matter physics and robotics, focusing on the challenges faced by bio-inspired robotic sy...
The paper introduces MARS, a Modular Agent designed for automated AI research, emphasizing cost-aware planning and reflective memory to e...
The paper presents SR-Scientist, a framework that enhances Large Language Models (LLMs) to autonomously discover scientific equations, ou...
The paper presents FRSICL, a novel method utilizing LLMs for optimizing UAV data collection in wildfire monitoring, enhancing efficiency ...
The paper discusses the use of Real-Time Recurrent Reinforcement Learning (RTRRL) for fine-tuning pretrained controllers in autonomous dr...
This article explores the integration of Large Language Models (LLMs) with Uncrewed Aerial Vehicles (UAVs) for enhanced public safety, fo...
The paper explores robot-assisted dining for individuals with disabilities, emphasizing the need for robots that can adapt to social dini...
The paper presents FlowDrive, a trajectory planning method that addresses data imbalance in driving datasets by using moderated flow matc...
MeshMimic introduces a novel framework for humanoid motion learning by integrating 3D scene reconstruction with motion control, enhancing...
The paper presents LSMART, an open-source simulator for evaluating Multi-Agent Path Finding (MAPF) algorithms in Automated Guided Vehicle...
This article presents a data-driven framework for estimating human muscular fatigue during collaborative robotic tasks using machine lear...
The paper introduces VLM-DEWM, a novel cognitive architecture designed to enhance vision-language planning in manufacturing by addressing...
This paper presents a novel non-parametric memory framework for improving Multimodal Large Language Models (MLLMs) in embodied exploratio...
The paper presents RPT-SR, a novel transformer architecture designed for infrared image super-resolution, addressing inefficiencies in ex...
The paper introduces ActionCodec, a novel action tokenizer designed to enhance Vision-Language-Action (VLA) models by optimizing tokeniza...
This article presents a theoretical framework for clone-robust weighting functions in metric spaces, addressing redundancy bias in benchm...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime