Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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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 ·
The AI Paradox: More Humanlike Means Less Autonomous
Robotics

The AI Paradox: More Humanlike Means Less Autonomous

Originally published in Forbes The AI executives are at it again, promising human-level machines in the near future. In Davos, the CEOs ...

AI News - General · 8 min ·
Machine Learning

I gave a local AI agent system file access and a mechanical "suffering" metric. Scaling the model changed its behavior entirely

I’ve been obsessed with autonomous agents lately, but it got tiring when they keep hitting walls because they didn't have the right capab...

Reddit - Artificial Intelligence · 1 min ·

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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 ·
The AI Paradox: More Humanlike Means Less Autonomous
Robotics

The AI Paradox: More Humanlike Means Less Autonomous

Originally published in Forbes The AI executives are at it again, promising human-level machines in the near future. In Davos, the CEOs ...

AI News - General · 8 min ·
Machine Learning

I gave a local AI agent system file access and a mechanical "suffering" metric. Scaling the model changed its behavior entirely

I’ve been obsessed with autonomous agents lately, but it got tiring when they keep hitting walls because they didn't have the right capab...

Reddit - Artificial Intelligence · 1 min ·
[2603.12647] LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction
Robotics

[2603.12647] LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction

Abstract page for arXiv paper 2603.12647: LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Recon...

arXiv - AI · 4 min ·
[2601.16130] Replicating Human Motivated Reasoning Studies with LLMs
Llms

[2601.16130] Replicating Human Motivated Reasoning Studies with LLMs

Abstract page for arXiv paper 2601.16130: Replicating Human Motivated Reasoning Studies with LLMs

arXiv - AI · 3 min ·
[2410.06355] UNCOM: Zero-shot Context-Aware Command Understanding for Tabletop Scenarios
Robotics

[2410.06355] UNCOM: Zero-shot Context-Aware Command Understanding for Tabletop Scenarios

Abstract page for arXiv paper 2410.06355: UNCOM: Zero-shot Context-Aware Command Understanding for Tabletop Scenarios

arXiv - AI · 3 min ·
[2410.06347] Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
Machine Learning

[2410.06347] Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning

Abstract page for arXiv paper 2410.06347: Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning

arXiv - AI · 3 min ·
[2605.07830] CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios
Llms

[2605.07830] CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios

Abstract page for arXiv paper 2605.07830: CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios

arXiv - AI · 3 min ·
[2605.07671] The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting
Robotics

[2605.07671] The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting

Abstract page for arXiv paper 2605.07671: The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting

arXiv - AI · 4 min ·
[2605.07649] Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models
Llms

[2605.07649] Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models

Abstract page for arXiv paper 2605.07649: Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models

arXiv - AI · 4 min ·
[2605.07474] ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations
Machine Learning

[2605.07474] ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations

Abstract page for arXiv paper 2605.07474: ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations

arXiv - AI · 4 min ·
[2605.07381] Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation
Machine Learning

[2605.07381] Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation

Abstract page for arXiv paper 2605.07381: Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation

arXiv - AI · 3 min ·
[2605.07370] MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation
Robotics

[2605.07370] MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

Abstract page for arXiv paper 2605.07370: MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-U...

arXiv - AI · 3 min ·
[2605.07325] CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations
Llms

[2605.07325] CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations

Abstract page for arXiv paper 2605.07325: CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations

arXiv - AI · 4 min ·
[2605.07306] BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation
Robotics

[2605.07306] BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation

Abstract page for arXiv paper 2605.07306: BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Age...

arXiv - AI · 4 min ·
[2605.06839] LLM-Guided Open Hypothesis Learning from Autonomous Scanning Probe Microscopy Experiments
Llms

[2605.06839] LLM-Guided Open Hypothesis Learning from Autonomous Scanning Probe Microscopy Experiments

Abstract page for arXiv paper 2605.06839: LLM-Guided Open Hypothesis Learning from Autonomous Scanning Probe Microscopy Experiments

arXiv - AI · 4 min ·
[2605.06738] From Specification to Deployment: Empirical Evidence from a W3C VC + DID Trust Infrastructure for Autonomous Agents
Robotics

[2605.06738] From Specification to Deployment: Empirical Evidence from a W3C VC + DID Trust Infrastructure for Autonomous Agents

Abstract page for arXiv paper 2605.06738: From Specification to Deployment: Empirical Evidence from a W3C VC + DID Trust Infrastructure f...

arXiv - AI · 4 min ·
[2605.06737] A Self-Healing Framework for Reliable LLM-Based Autonomous Agents
Llms

[2605.06737] A Self-Healing Framework for Reliable LLM-Based Autonomous Agents

Abstract page for arXiv paper 2605.06737: A Self-Healing Framework for Reliable LLM-Based Autonomous Agents

arXiv - AI · 3 min ·
[2605.06717] Agentic Coding Needs Proactivity, Not Just Autonomy
Robotics

[2605.06717] Agentic Coding Needs Proactivity, Not Just Autonomy

Abstract page for arXiv paper 2605.06717: Agentic Coding Needs Proactivity, Not Just Autonomy

arXiv - AI · 4 min ·
[2605.07214] HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
Llms

[2605.07214] HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization

Abstract page for arXiv paper 2605.07214: HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization

arXiv - AI · 3 min ·
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