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? ...
![[2602.11554] HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents HyperDet, a novel framework for 3D object detection using hyper 4D radar point clouds, addressing limitations of tradi...
The paper presents ReaDy-Go, a novel simulation pipeline that enhances visual navigation in dynamic environments by integrating 3D Gaussi...
The paper introduces Language-Action Pre-Training (LAP), a method enabling robots to perform tasks across different embodiments without f...
VividFace presents a real-time system for humanoid robots to mimic human facial expressions, enhancing emotional interaction through adva...
This article presents a framework-agnostic, agent-based operationalization of the DISARM framework to investigate Foreign Information Man...
This article presents a framework for early fault diagnosis and self-recovery in strawberry harvesting robots, leveraging vision-based te...
This paper explores how grounding bodily awareness in visual representations can enhance policy learning for robotic manipulation, introd...
This article presents a configurable research platform aimed at enhancing human-agent collaboration, exploring the dynamics of human-huma...
This article explores the integration of Large Language Models (LLMs) with Reinforcement Learning (RL) to enhance decision-making in auto...
This paper presents a novel unsupervised prognostics framework for deep-space habitats, addressing multiple unlabeled failure modes throu...
This article presents a framework for enhancing simulation environments in Autonomous Cyber Operations (ACO) by implementing new actions ...
This paper introduces a learning-based approach for generating uncertainty-aware high-level spatial concepts in 3D Scene Graphs, enhancin...
The paper presents PragmaBot, a framework for robotic task planning that utilizes real-world experiences and self-reflection to enhance l...
This survey explores the role of foundation models in enhancing scenario generation and analysis for autonomous driving, addressing limit...
This article presents a novel framework called Geometric Pessimism for Offline Reinforcement Learning (RL), enhancing performance in robo...
This article presents a multi-objective optimization approach using neural networks to enhance the design of soft Fin-Ray fingers for imp...
The paper presents 'Endless Terminals', a scalable reinforcement learning (RL) environment designed for training terminal agents through ...
This paper presents a novel framework for autonomous decision-making in UAVs during search-and-rescue operations, demonstrating effective...
RapidPen is a novel automated penetration testing framework that utilizes large language models to autonomously exploit vulnerabilities, ...
This article presents an experimental evaluation of ROS-Causal, a framework for causal discovery in human-robot spatial interactions, dem...
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