Physical AI, robots, and autonomous systems
https://shapingrooms.com/research I published a paper today on something I've been calling postural manipulation. The short version: ordi...
https://shapingrooms.com/research I've been documenting what I'm calling postural manipulation: a specific class of language that install...
![[2601.07855] RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2601.07855: RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
The paper presents Self-Correcting VLA, a novel approach in robotics that enhances vision-language-action models by integrating sparse wo...
The paper presents Structurally Aligned Subtask-Level Memory, a novel approach for enhancing software engineering agents by improving mem...
The paper introduces LiLo-VLA, a modular framework for long-horizon manipulation in robotics, enhancing performance through object-centri...
The paper presents Budget-Aware Agentic Routing, a method for optimizing the use of large language models in autonomous agents by balanci...
This paper presents Sparse Inference-time Alignment (SIA), a novel approach to enhance alignment in large language models by intervening ...
The paper introduces ProactiveMobile, a benchmark aimed at enhancing proactive intelligence in mobile devices, addressing the limitations...
The paper presents PANGAEA-GPT, a hierarchical multi-agent system designed to enhance autonomous data discovery in geoscientific archives...
The article discusses the potential use of AI robots for vehicle detailing in a car rental company, exploring their capabilities in clean...
Sentinel Gateway addresses the challenge of instruction provenance in AI agents by ensuring only user-signed prompts are treated as execu...
This article discusses a lightweight TensorRT implementation of FoundationPose, aimed at improving robotics research by eliminating the h...
Intrinsic, a robotics software company under Alphabet, is now joining Google to enhance its AI capabilities, focusing on making industria...
Google's Aletheia AI agent successfully solved 6 out of 10 novel math problems in the FirstProof challenge, showcasing advancements in AI...
The article discusses the Anthropic-Pentagon situation, framing it as a governance-layer conflict in AI rather than a political debate, f...
The article discusses the relevance of Integrated Development Environments (IDEs) in the context of autonomous AI development, highlighti...
The paper presents Squint, a novel visual reinforcement learning method that enhances training efficiency for sim-to-real robotics, achie...
The paper presents AceGRPO, a novel approach for enhancing autonomous machine learning engineering through adaptive curriculum and group ...
The paper presents Fast-ThinkAct, a novel framework for efficient Vision-Language-Action reasoning that reduces inference latency while m...
This survey explores the concept of data agents, autonomous systems that manage complex data tasks. It introduces a hierarchical taxonomy...
This paper evaluates the robustness of Vision-Language-Action (VLA) models against various multi-modal perturbations, proposing a new met...
The paper explores performance asymmetry in Model-Based Reinforcement Learning (MBRL), highlighting significant disparities in agent perf...
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