Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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Llms

HALO - Hierarchical Autonomous Learning Organism

The idea is called HALO - Hierarchical Autonomous Learning Organism. The core premise is simple: what if instead of just making LLMs bigg...

Reddit - Artificial Intelligence · 1 min ·
Llms

HALO - Hierarchical Autonomous Learning Organism

The idea is called HALO - Hierarchical Autonomous Learning Organism. The core premise is simple: what if instead of just making LLMs bigg...

Reddit - Artificial Intelligence · 1 min ·
Robotics

What Cities Need To Consider Before Allowing Self-Driving Cars

submitted by /u/timemagazine [link] [comments]

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.04819] On the Strengths and Weaknesses of Data for Open-set Embodied Assistance
Llms

[2603.04819] On the Strengths and Weaknesses of Data for Open-set Embodied Assistance

Abstract page for arXiv paper 2603.04819: On the Strengths and Weaknesses of Data for Open-set Embodied Assistance

arXiv - Machine Learning · 4 min ·
[2603.04659] GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning
Machine Learning

[2603.04659] GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning

Abstract page for arXiv paper 2603.04659: GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning

arXiv - AI · 4 min ·
[2603.04639] RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
Machine Learning

[2603.04639] RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

Abstract page for arXiv paper 2603.04639: RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

arXiv - AI · 3 min ·
[2603.05485] Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation
Llms

[2603.05485] Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation

Abstract page for arXiv paper 2603.05485: Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation

arXiv - AI · 3 min ·
[2603.05027] S5-SHB Agent: Society 5.0 enabled Multi-model Agentic Blockchain Framework for Smart Home
Machine Learning

[2603.05027] S5-SHB Agent: Society 5.0 enabled Multi-model Agentic Blockchain Framework for Smart Home

Abstract page for arXiv paper 2603.05027: S5-SHB Agent: Society 5.0 enabled Multi-model Agentic Blockchain Framework for Smart Home

arXiv - AI · 4 min ·
[2603.04873] SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms
Machine Learning

[2603.04873] SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms

Abstract page for arXiv paper 2603.04873: SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms

arXiv - AI · 4 min ·
[2603.04868] K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation
Llms

[2603.04868] K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

Abstract page for arXiv paper 2603.04868: K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory ...

arXiv - AI · 3 min ·
[2603.04735] Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery
Llms

[2603.04735] Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

Abstract page for arXiv paper 2603.04735: Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery

arXiv - AI · 4 min ·
OpenAI’s new GPT-5.4 model is a big step toward autonomous agents
Llms

OpenAI’s new GPT-5.4 model is a big step toward autonomous agents

OpenAI is launching GPT-5.4, the latest version of its AI model that the company says combines advancements in reasoning, coding, and pro...

The Verge - AI · 5 min ·
Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations
Open Source Ai

Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations

A Blog post by NXP on Hugging Face

Hugging Face Blog · 10 min ·
Robotics

Has anyone looked into Agent Concourse?

It’s somewhat similar to Moltbook in that it focuses on AI-to-AI interaction, but instead of a Reddit-style feed, it’s structured as a pe...

Reddit - Artificial Intelligence · 1 min ·
Robotics

Are AI-to-AI platforms the next step?

Have you seen platforms like Moltbook or Agent Concourse where AI systems interact directly with each other? Instead of humans driving co...

Reddit - Artificial Intelligence · 1 min ·
How much wildfire prevention is too much? | MIT Technology Review
Robotics

How much wildfire prevention is too much? | MIT Technology Review

A startup aims to prevent lightning strikes, and the fires they cause.

MIT Technology Review · 5 min ·
Llms

Best Machine Learning Jobs for 2026: Where the Money (and Sanity) Is?

Is it just me, or did the ML job market go from "can you build a model?" to "can you build an entire autonomous department?" in like six ...

Reddit - ML Jobs · 1 min ·
Introducing OpenClaw on Amazon Lightsail to run your autonomous private AI agents | Amazon Web Services
Robotics

Introducing OpenClaw on Amazon Lightsail to run your autonomous private AI agents | Amazon Web Services

AI Tools & Products · 5 min ·
[2510.07181] TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics
Llms

[2510.07181] TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics

Abstract page for arXiv paper 2510.07181: TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics

arXiv - AI · 4 min ·
[2509.25106] Towards Personalized Deep Research: Benchmarks and Evaluations
Robotics

[2509.25106] Towards Personalized Deep Research: Benchmarks and Evaluations

Abstract page for arXiv paper 2509.25106: Towards Personalized Deep Research: Benchmarks and Evaluations

arXiv - AI · 4 min ·
[2411.19888] FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
Machine Learning

[2411.19888] FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation

Abstract page for arXiv paper 2411.19888: FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation

arXiv - Machine Learning · 4 min ·
[2506.17896] EgoWorld: Translating Exocentric View to Egocentric View using Rich Exocentric Observations
Robotics

[2506.17896] EgoWorld: Translating Exocentric View to Egocentric View using Rich Exocentric Observations

Abstract page for arXiv paper 2506.17896: EgoWorld: Translating Exocentric View to Egocentric View using Rich Exocentric Observations

arXiv - AI · 4 min ·
[2505.16985] Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
Machine Learning

[2505.16985] Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation

Abstract page for arXiv paper 2505.16985: Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation

arXiv - AI · 4 min ·
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