Copertina

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sagar, Som, Duan, Jiafei, Vasudevan, Sreevishakh, Zhou, Yifan, Amor, Heni Ben, Fox, Dieter, Senanayake, Ransalu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Viewpoint-Agnostic Manipulation Policies with Strategic Vantage Selection
di: Vasudevan, Sreevishakh, et al.
Pubblicazione: (2025)

PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
di: Gundawar, Atharva, et al.
Pubblicazione: (2025)

BaTCAVe: Trustworthy Explanations for Robot Behaviors
di: Sagar, Som, et al.
Pubblicazione: (2024)

The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
di: Senanayake, Ransalu
Pubblicazione: (2024)

LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
di: Sagar, Som, et al.
Pubblicazione: (2024)

Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
di: Taparia, Aditya, et al.
Pubblicazione: (2024)

Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
di: Sagar, Som, et al.
Pubblicazione: (2024)

SiSCo: Signal Synthesis for Effective Human-Robot Communication Via Large Language Models
di: Sonawani, Shubham, et al.
Pubblicazione: (2024)

Learning and Blending Robot Hugging Behaviors in Time and Space
di: Drolet, Michael, et al.
Pubblicazione: (2022)

Enabling Stateful Behaviors for Diffusion-based Policy Learning
di: Liu, Xiao, et al.
Pubblicazione: (2024)

RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics
di: Yuan, Wentao, et al.
Pubblicazione: (2024)

Repairing Neural Networks for Safety in Robotic Systems using Predictive Models
di: Majd, Keyvan, et al.
Pubblicazione: (2024)

RoboCade: Gamifying Robot Data Collection
di: Mirchandani, Suvir, et al.
Pubblicazione: (2025)

Ubiquitous Robot Control Through Multimodal Motion Capture Using Smartwatch and Smartphone Data
di: Weigend, Fabian C, et al.
Pubblicazione: (2024)

iRoCo: Intuitive Robot Control From Anywhere Using a Smartwatch
di: Weigend, Fabian C, et al.
Pubblicazione: (2024)

Humanoid Factors: Design Principles for AI Humanoids in Human Worlds
di: Liu, Xinyuan, et al.
Pubblicazione: (2026)

EVE: Enabling Anyone to Train Robots using Augmented Reality
di: Wang, Jun, et al.
Pubblicazione: (2024)

Anytime, Anywhere: Human Arm Pose from Smartwatch Data for Ubiquitous Robot Control and Teleoperation
di: Weigend, Fabian C, et al.
Pubblicazione: (2023)

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
di: Pumacay, Wilbert, et al.
Pubblicazione: (2024)

RoboEval: Where Robotic Manipulation Meets Structured and Scalable Evaluation
di: Wang, Yi Ru, et al.
Pubblicazione: (2025)

RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains
di: Wang, Yi Ru, et al.
Pubblicazione: (2026)

Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
di: Guan, Lin, et al.
Pubblicazione: (2024)

SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
di: Fang, Haoquan, et al.
Pubblicazione: (2025)

SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
di: Amor, Heni Ben, et al.
Pubblicazione: (2025)

RoboBlockly Studio: Conversational Block Programming with Embodied Robot Feedback for Computational Thinking
di: Li, Leyi, et al.
Pubblicazione: (2026)

Manipulate-Anything: Automating Real-World Robots using Vision-Language Models
di: Duan, Jiafei, et al.
Pubblicazione: (2024)

RoboOcc: Enhancing the Geometric and Semantic Scene Understanding for Robots
di: Zhang, Zhang, et al.
Pubblicazione: (2025)

FailSafe: Reasoning and Recovery from Failures in Vision-Language-Action Models
di: Lin, Zijun, et al.
Pubblicazione: (2025)

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
di: Duan, Jiafei, et al.
Pubblicazione: (2024)

Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning
di: Tur, Yalcin, et al.
Pubblicazione: (2026)

TwinTrack: Bridging Vision and Contact Physics for Real-Time Tracking of Unknown Objects in Contact-Rich Scenes
di: Yang, Wen, et al.
Pubblicazione: (2025)

RoboCrowd: Scaling Robot Data Collection through Crowdsourcing
di: Mirchandani, Suvir, et al.
Pubblicazione: (2024)

RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation
di: Yuan, Chengbo, et al.
Pubblicazione: (2025)

RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
di: Duan, Shiying, et al.
Pubblicazione: (2025)

A Comparison of Imitation Learning Algorithms for Bimanual Manipulation
di: Drolet, Michael, et al.
Pubblicazione: (2024)

TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
di: Chen, Shirui, et al.
Pubblicazione: (2026)

ExpressivityBench: Can LLMs Communicate Implicitly?
di: Tint, Joshua, et al.
Pubblicazione: (2024)

System Identification For Constrained Robots
di: Zhang, Bohao, et al.
Pubblicazione: (2024)

Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values
di: Ramaswamy, Ashwin, et al.
Pubblicazione: (2024)

RoboCritics: Enabling Reliable End-to-End LLM Robot Programming through Expert-Informed Critics
di: Kim, Callie Y., et al.
Pubblicazione: (2026)