Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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Robotics

Interactive Jensen–Shannon Divergence Visualisation [P]

An interactive visualisation of Jensen–Shannon divergence - the symmetric, always-finite cousin of KL. Shape two distributions and watch ...

Reddit - Machine Learning · 1 min ·
Joanna Stern is not a robot, but she lived with them | The Verge
Robotics

Joanna Stern is not a robot, but she lived with them | The Verge

The journalist and author of I Am Not a Robot on her year living with AI and starting New Things, her new media company.

The Verge - AI · 54 min ·
Machine Learning

Are Enterprises Using AI in the Wrong Places?

Most enterprise AI discussions still revolve around one question: But I’m starting to think that may be the wrong question entirely. The ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2605.06822] SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents
Llms

[2605.06822] SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents

Abstract page for arXiv paper 2605.06822: SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents

arXiv - Machine Learning · 4 min ·
Robotics

‘AI for Good’ and ‘I Am Not a Robot’: Learning the Machines

AI News - General · 1 min ·
Machine Learning

Artificial intelligence - Machine Learning, Robotics, Algorithms

AI Events ·
Hackable Robot Lawn Mower Unlocks a New Nightmare | WIRED
Robotics

Hackable Robot Lawn Mower Unlocks a New Nightmare | WIRED

Plus: Meta officially kills encrypted Instagram DMs, the Trump administration targets “violent left wing extremists,” leaked documents re...

Wired - AI · 9 min ·
[2512.22579] SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G
Robotics

[2512.22579] SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G

Abstract page for arXiv paper 2512.22579: SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G

arXiv - AI · 4 min ·
[2602.07322] Action-to-Action Flow Matching
Machine Learning

[2602.07322] Action-to-Action Flow Matching

Abstract page for arXiv paper 2602.07322: Action-to-Action Flow Matching

arXiv - AI · 4 min ·
[2601.03728] CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval
Machine Learning

[2601.03728] CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval

Abstract page for arXiv paper 2601.03728: CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval

arXiv - AI · 4 min ·
[2601.00360] Mapping Human Anti-collusion Mechanisms to Multi-agent AI Systems
Robotics

[2601.00360] Mapping Human Anti-collusion Mechanisms to Multi-agent AI Systems

Abstract page for arXiv paper 2601.00360: Mapping Human Anti-collusion Mechanisms to Multi-agent AI Systems

arXiv - AI · 3 min ·
[2506.18682] Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios
Computer Vision

[2506.18682] Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios

Abstract page for arXiv paper 2506.18682: Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Sc...

arXiv - AI · 4 min ·
[2510.12635] Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks
Llms

[2510.12635] Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks

Abstract page for arXiv paper 2510.12635: Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks

arXiv - AI · 3 min ·
[2605.06445] Constraint Decay: The Fragility of LLM Agents in Backend Code Generation
Llms

[2605.06445] Constraint Decay: The Fragility of LLM Agents in Backend Code Generation

Abstract page for arXiv paper 2605.06445: Constraint Decay: The Fragility of LLM Agents in Backend Code Generation

arXiv - AI · 4 min ·
[2605.06298] Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement
Machine Learning

[2605.06298] Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement

Abstract page for arXiv paper 2605.06298: Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement

arXiv - AI · 4 min ·
[2605.06222] When to Trust Imagination: Adaptive Action Execution for World Action Models
Machine Learning

[2605.06222] When to Trust Imagination: Adaptive Action Execution for World Action Models

Abstract page for arXiv paper 2605.06222: When to Trust Imagination: Adaptive Action Execution for World Action Models

arXiv - AI · 4 min ·
[2605.06192] EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields
Machine Learning

[2605.06192] EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields

Abstract page for arXiv paper 2605.06192: EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields

arXiv - AI · 3 min ·
[2605.05411] Creative Robot Tool Use by Counterfactual Reasoning
Machine Learning

[2605.05411] Creative Robot Tool Use by Counterfactual Reasoning

Abstract page for arXiv paper 2605.05411: Creative Robot Tool Use by Counterfactual Reasoning

arXiv - AI · 3 min ·
[2605.05340] How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study
Llms

[2605.05340] How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study

Abstract page for arXiv paper 2605.05340: How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study

arXiv - AI · 4 min ·
[2605.05236] Topology-Driven Anti-Entanglement Control for Soft Robots
Machine Learning

[2605.05236] Topology-Driven Anti-Entanglement Control for Soft Robots

Abstract page for arXiv paper 2605.05236: Topology-Driven Anti-Entanglement Control for Soft Robots

arXiv - AI · 4 min ·
[2605.06524] Process Matters more than Output for Distinguishing Humans from Machines
Llms

[2605.06524] Process Matters more than Output for Distinguishing Humans from Machines

Abstract page for arXiv paper 2605.06524: Process Matters more than Output for Distinguishing Humans from Machines

arXiv - AI · 4 min ·
[2605.06483] ReasonSTL: Bridging Natural Language and Signal Temporal Logic via Tool-Augmented Process-Rewarded Learning
Nlp

[2605.06483] ReasonSTL: Bridging Natural Language and Signal Temporal Logic via Tool-Augmented Process-Rewarded Learning

Abstract page for arXiv paper 2605.06483: ReasonSTL: Bridging Natural Language and Signal Temporal Logic via Tool-Augmented Process-Rewar...

arXiv - AI · 3 min ·
[2605.06230] Safactory: A Scalable Agent Factory for Trustworthy Autonomous Intelligence
Machine Learning

[2605.06230] Safactory: A Scalable Agent Factory for Trustworthy Autonomous Intelligence

Abstract page for arXiv paper 2605.06230: Safactory: A Scalable Agent Factory for Trustworthy Autonomous Intelligence

arXiv - AI · 3 min ·
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