Robotics & Embodied AI

Physical AI, robots, and autonomous systems

Top This Week

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

[2603.20607] Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
Machine Learning

[2603.20607] Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models

Abstract page for arXiv paper 2603.20607: Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models

arXiv - Machine Learning · 3 min ·
[2603.22273] Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration
Robotics

[2603.22273] Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration

Abstract page for arXiv paper 2603.22273: Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Explora...

arXiv - Machine Learning · 4 min ·
[2603.21972] Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe
Llms

[2603.21972] Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

Abstract page for arXiv paper 2603.21972: Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

arXiv - Machine Learning · 4 min ·
[2603.21331] AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search
Machine Learning

[2603.21331] AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Abstract page for arXiv paper 2603.21331: AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

arXiv - Machine Learning · 4 min ·
[2603.20538] Understanding Behavior Cloning with Action Quantization
Llms

[2603.20538] Understanding Behavior Cloning with Action Quantization

Abstract page for arXiv paper 2603.20538: Understanding Behavior Cloning with Action Quantization

arXiv - Machine Learning · 3 min ·
[2603.20405] Putnam 2025 Problems in Rocq using Opus 4.6 and Rocq-MCP
Llms

[2603.20405] Putnam 2025 Problems in Rocq using Opus 4.6 and Rocq-MCP

Abstract page for arXiv paper 2603.20405: Putnam 2025 Problems in Rocq using Opus 4.6 and Rocq-MCP

arXiv - Machine Learning · 3 min ·
[2603.16065] Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
Llms

[2603.16065] Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models

Abstract page for arXiv paper 2603.16065: Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models

arXiv - AI · 4 min ·
[2603.07496] From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents
Llms

[2603.07496] From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents

Abstract page for arXiv paper 2603.07496: From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents

arXiv - AI · 3 min ·
[2601.05848] Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals
Machine Learning

[2601.05848] Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals

Abstract page for arXiv paper 2601.05848: Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals

arXiv - AI · 4 min ·
[2511.20011] Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments
Machine Learning

[2511.20011] Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments

Abstract page for arXiv paper 2511.20011: Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environm...

arXiv - AI · 4 min ·
[2511.14977] SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification
Llms

[2511.14977] SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification

Abstract page for arXiv paper 2511.14977: SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification

arXiv - AI · 4 min ·
[2510.02284] Learning to Generate Rigid Body Interactions with Video Diffusion Models
Machine Learning

[2510.02284] Learning to Generate Rigid Body Interactions with Video Diffusion Models

Abstract page for arXiv paper 2510.02284: Learning to Generate Rigid Body Interactions with Video Diffusion Models

arXiv - Machine Learning · 4 min ·
[2509.08157] Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation
Robotics

[2509.08157] Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation

Abstract page for arXiv paper 2509.08157: Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation

arXiv - AI · 4 min ·
[2507.13340] Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
Machine Learning

[2507.13340] Latent Policy Steering with Embodiment-Agnostic Pretrained World Models

Abstract page for arXiv paper 2507.13340: Latent Policy Steering with Embodiment-Agnostic Pretrained World Models

arXiv - Machine Learning · 4 min ·
[2505.18323] Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation
Machine Learning

[2505.18323] Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation

Abstract page for arXiv paper 2505.18323: Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation

arXiv - Machine Learning · 4 min ·
[2505.12224] RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
Machine Learning

[2505.12224] RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction

Abstract page for arXiv paper 2505.12224: RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction

arXiv - AI · 4 min ·
[2209.04999] Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability
Robotics

[2209.04999] Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability

Abstract page for arXiv paper 2209.04999: Multi-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Cont...

arXiv - AI · 4 min ·
[2603.11382] Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol
Robotics

[2603.11382] Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol

Abstract page for arXiv paper 2603.11382: Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Contin...

arXiv - Machine Learning · 4 min ·
[2603.08388] A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Generation
Llms

[2603.08388] A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Generation

Abstract page for arXiv paper 2603.08388: A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Gen...

arXiv - AI · 4 min ·
[2506.13113] Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning
Machine Learning

[2506.13113] Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning

Abstract page for arXiv paper 2506.13113: Dynamic Reinsurance Treaty Bidding via Multi-Agent Reinforcement Learning

arXiv - AI · 4 min ·
Previous Page 6 Next

Related Topics

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime