Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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Robotics

AI system learns to prevent warehouse robot traffic jams, boosting throughput 25%

"Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream...

Reddit - Artificial Intelligence · 1 min ·
[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Llms

[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Abstract page for arXiv paper 2603.16673: When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Rob...

arXiv - Machine Learning · 4 min ·
[2512.22854] ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning
Machine Learning

[2512.22854] ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum Learning

Abstract page for arXiv paper 2512.22854: ByteLoom: Weaving Geometry-Consistent Human-Object Interactions through Progressive Curriculum ...

arXiv - Machine Learning · 4 min ·

All Content

[2603.22882] TreeTeaming: Autonomous Red-Teaming of Vision-Language Models via Hierarchical Strategy Exploration
Llms

[2603.22882] TreeTeaming: Autonomous Red-Teaming of Vision-Language Models via Hierarchical Strategy Exploration

Abstract page for arXiv paper 2603.22882: TreeTeaming: Autonomous Red-Teaming of Vision-Language Models via Hierarchical Strategy Explora...

arXiv - Machine Learning · 4 min ·
[2603.23178] SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense
Machine Learning

[2603.23178] SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense

Abstract page for arXiv paper 2603.23178: SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense

arXiv - AI · 4 min ·
[2603.22384] Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure
Robotics

[2603.22384] Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure

Abstract page for arXiv paper 2603.22384: Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal Structure

arXiv - AI · 4 min ·
[2603.22869] Chain-of-Authorization: Internalizing Authorization into Large Language Models via Reasoning Trajectories
Llms

[2603.22869] Chain-of-Authorization: Internalizing Authorization into Large Language Models via Reasoning Trajectories

Abstract page for arXiv paper 2603.22869: Chain-of-Authorization: Internalizing Authorization into Large Language Models via Reasoning Tr...

arXiv - AI · 4 min ·
[2603.22823] Empirical Comparison of Agent Communication Protocols for Task Orchestration
Robotics

[2603.22823] Empirical Comparison of Agent Communication Protocols for Task Orchestration

Abstract page for arXiv paper 2603.22823: Empirical Comparison of Agent Communication Protocols for Task Orchestration

arXiv - AI · 3 min ·
[2603.22305] CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News
Llms

[2603.22305] CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News

Abstract page for arXiv paper 2603.22305: CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset ...

arXiv - AI · 4 min ·
Nlp

What if your AI agent could fix its own hallucinations without being told what's wrong?

Every autonomous AI agent has three problems: it contradicts itself, it can't decide, and it says things confidently that aren't true. Cu...

Reddit - Artificial Intelligence · 1 min ·
Robotics

Samsung is going all in on AI

Samsung announced that every factory it operates worldwide will run on autonomous AI by 2030. Not AI-assisted but fully independtly meani...

Reddit - Artificial Intelligence · 1 min ·
Anthropic’s Claude Code and Cowork can control your computer | The Verge
Llms

Anthropic’s Claude Code and Cowork can control your computer | The Verge

Anthropic has updated Claude to perform tasks in its Code and Cowork AI tools autonomously by using your computer for you.

The Verge - AI · 4 min ·
Agile Robots becomes the latest robotics company to partner with Google DeepMind | TechCrunch
Llms

Agile Robots becomes the latest robotics company to partner with Google DeepMind | TechCrunch

Agile Robots will incorporate Google DeepMind's robotics foundation models into its bots while collecting data for the AI research lab.

TechCrunch - AI · 4 min ·
Opinion: The AI robots are coming for our jobs, especially mine – and their column-writing skills ain’t bad!
Robotics

Opinion: The AI robots are coming for our jobs, especially mine – and their column-writing skills ain’t bad!

As if life weren’t depressing enough these days, The Washington Post had a real pick-me-up of an article last week that about made me thr...

AI Tools & Products · 13 min ·
[2603.14469] Physics-Informed Policy Optimization via Analytic Dynamics Regularization
Machine Learning

[2603.14469] Physics-Informed Policy Optimization via Analytic Dynamics Regularization

Abstract page for arXiv paper 2603.14469: Physics-Informed Policy Optimization via Analytic Dynamics Regularization

arXiv - Machine Learning · 3 min ·
[2506.14186] Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
Robotics

[2506.14186] Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control

Abstract page for arXiv paper 2506.14186: Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control

arXiv - Machine Learning · 4 min ·
[2407.08626] RoboMorph: Evolving Robot Morphology using Large Language Models
Llms

[2407.08626] RoboMorph: Evolving Robot Morphology using Large Language Models

Abstract page for arXiv paper 2407.08626: RoboMorph: Evolving Robot Morphology using Large Language Models

arXiv - Machine Learning · 3 min ·
[2603.22039] RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning
Machine Learning

[2603.22039] RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning

Abstract page for arXiv paper 2603.22039: RAFL: Generalizable Sim-to-Real of Soft Robots with Residual Acceleration Field Learning

arXiv - Machine Learning · 3 min ·
[2603.21183] Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems
Machine Learning

[2603.21183] Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems

Abstract page for arXiv paper 2603.21183: Architecture for Multi-Unmanned Aerial Vehicles based Autonomous Precision Agriculture Systems

arXiv - Machine Learning · 3 min ·
[2603.20927] Active Inference for Physical AI Agents -- An Engineering Perspective
Machine Learning

[2603.20927] Active Inference for Physical AI Agents -- An Engineering Perspective

Abstract page for arXiv paper 2603.20927: Active Inference for Physical AI Agents -- An Engineering Perspective

arXiv - Machine Learning · 4 min ·
[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 ·
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