Robotics & Embodied AI

Physical AI, robots, and autonomous systems

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Robotics

[D] Awesome AI Agent Incidents - A curated list of incidents, attack vectors, failure modes, and defensive tools for autonomous AI agents.

https://github.com/h5i-dev/awesome-ai-agent-incidents submitted by /u/Living_Impression_37 [link] [comments]

Reddit - Machine Learning · 1 min ·
Llms

An attack class that passes every current LLM filter - no payload, no injection signature, no log trace

https://shapingrooms.com/research I published a paper today on something I've been calling postural manipulation. The short version: ordi...

Reddit - Artificial Intelligence · 1 min ·
Llms

[R] An attack class that passes every current LLM filter - no payload, no injection signature, no log trace

https://shapingrooms.com/research I've been documenting what I'm calling postural manipulation: a specific class of language that install...

Reddit - Machine Learning · 1 min ·

All Content

[2602.20055] To Move or Not to Move: Constraint-based Planning Enables Zero-Shot Generalization for Interactive Navigation
Robotics

[2602.20055] To Move or Not to Move: Constraint-based Planning Enables Zero-Shot Generalization for Interactive Navigation

This paper presents a novel constraint-based planning framework for mobile robots, enabling zero-shot generalization in interactive navig...

arXiv - AI · 4 min ·
[2602.19983] Contextual Safety Reasoning and Grounding for Open-World Robots
Robotics

[2602.19983] Contextual Safety Reasoning and Grounding for Open-World Robots

The paper presents CORE, a novel safety framework for open-world robots that enables contextual reasoning and enforcement of safety rules...

arXiv - AI · 4 min ·
[2602.19710] Universal Pose Pretraining for Generalizable Vision-Language-Action Policies
Machine Learning

[2602.19710] Universal Pose Pretraining for Generalizable Vision-Language-Action Policies

The paper presents Pose-VLA, a novel framework for Vision-Language-Action (VLA) models that separates pre-training and post-training phas...

arXiv - Machine Learning · 4 min ·
[2602.19679] TeHOR: Text-Guided 3D Human and Object Reconstruction with Textures
Robotics

[2602.19679] TeHOR: Text-Guided 3D Human and Object Reconstruction with Textures

TeHOR introduces a novel framework for 3D human and object reconstruction using text descriptions, addressing limitations in current meth...

arXiv - AI · 3 min ·
[2602.19651] Denoising Particle Filters: Learning State Estimation with Single-Step Objectives
Machine Learning

[2602.19651] Denoising Particle Filters: Learning State Estimation with Single-Step Objectives

This paper presents a novel particle filtering algorithm for state estimation in robotics, leveraging single-step objectives to improve i...

arXiv - Machine Learning · 3 min ·
[2602.19565] DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces
Generative Ai

[2602.19565] DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces

DICArt introduces a novel framework for category-level articulated object pose estimation, utilizing a discrete diffusion process to enha...

arXiv - AI · 4 min ·
[2602.19555] Agentic AI as a Cybersecurity Attack Surface: Threats, Exploits, and Defenses in Runtime Supply Chains
Llms

[2602.19555] Agentic AI as a Cybersecurity Attack Surface: Threats, Exploits, and Defenses in Runtime Supply Chains

This article discusses the cybersecurity implications of agentic AI systems, focusing on threats and defenses in runtime supply chains, h...

arXiv - AI · 3 min ·
[2602.19538] Cost-Aware Diffusion Active Search
Generative Ai

[2602.19538] Cost-Aware Diffusion Active Search

The paper presents a novel approach to active search using cost-aware diffusion models, improving efficiency in decision-making for auton...

arXiv - Machine Learning · 4 min ·
[2602.19534] Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial
Llms

[2602.19534] Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial

This article surveys the integration of Large Language Models (LLMs) in Uncrewed Aerial Vehicles (UAVs), exploring their potential to enh...

arXiv - AI · 4 min ·
[2602.19372] Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization
Llms

[2602.19372] Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization

The paper presents a novel framework for optimizing Vision-Language Models (VLMs) in robotic manipulation tasks, enhancing decision-makin...

arXiv - Machine Learning · 4 min ·
[2602.19359] Vid2Sid: Videos Can Help Close the Sim2Real Gap
Robotics

[2602.19359] Vid2Sid: Videos Can Help Close the Sim2Real Gap

The paper presents Vid2Sid, a novel video-driven system identification pipeline that enhances the calibration of robot simulators by anal...

arXiv - Machine Learning · 4 min ·
[2602.19491] Botson: An Accessible and Low-Cost Platform for Social Robotics Research
Llms

[2602.19491] Botson: An Accessible and Low-Cost Platform for Social Robotics Research

The paper presents Botson, a low-cost, accessible platform for social robotics research, designed to enhance trust in AI through anthropo...

arXiv - AI · 3 min ·
[2602.19219] Controlled Face Manipulation and Synthesis for Data Augmentation
Machine Learning

[2602.19219] Controlled Face Manipulation and Synthesis for Data Augmentation

The paper presents a novel method for controlled face manipulation to augment data for facial expression analysis, addressing label scarc...

arXiv - Machine Learning · 4 min ·
[2602.19196] An Interpretable Data-Driven Model of the Flight Dynamics of Hawks
Machine Learning

[2602.19196] An Interpretable Data-Driven Model of the Flight Dynamics of Hawks

This paper presents a data-driven model using dynamic mode decomposition to analyze the flight dynamics of hawks, revealing common behavi...

arXiv - Machine Learning · 4 min ·
[2602.19441] When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests
Robotics

[2602.19441] When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests

This paper investigates how AI-generated pull requests integrate into human-led code review processes, emphasizing the importance of coll...

arXiv - AI · 3 min ·
[2602.19400] Hilbert-Augmented Reinforcement Learning for Scalable Multi-Robot Coverage and Exploration
Nlp

[2602.19400] Hilbert-Augmented Reinforcement Learning for Scalable Multi-Robot Coverage and Exploration

This paper presents a novel framework integrating Hilbert space-filling priors into decentralized multi-robot learning, enhancing coverag...

arXiv - AI · 3 min ·
[2602.19116] Event-Triggered Gossip for Distributed Learning
Robotics

[2602.19116] Event-Triggered Gossip for Distributed Learning

The paper presents an event-triggered gossip framework for distributed learning, enhancing communication efficiency among nodes while mai...

arXiv - Machine Learning · 3 min ·
[2602.19349] UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation
Nlp

[2602.19349] UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation

The paper presents UP-Fuse, an innovative framework for LiDAR-camera fusion that enhances 3D panoptic segmentation by addressing sensor d...

arXiv - AI · 4 min ·
[2602.19348] MultiDiffSense: Diffusion-Based Multi-Modal Visuo-Tactile Image Generation Conditioned on Object Shape and Contact Pose
Machine Learning

[2602.19348] MultiDiffSense: Diffusion-Based Multi-Modal Visuo-Tactile Image Generation Conditioned on Object Shape and Contact Pose

The paper presents MultiDiffSense, a diffusion-based model for generating visuo-tactile images conditioned on object shape and contact po...

arXiv - AI · 3 min ·
[2602.19315] Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders
Robotics

[2602.19315] Online Navigation Planning for Long-term Autonomous Operation of Underwater Gliders

This article presents a novel approach to online navigation planning for underwater gliders, utilizing a stochastic shortest-path Markov ...

arXiv - AI · 4 min ·
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