Security for Embodied AI Systems
Research on security vulnerabilities, attacks, and defenses for embodied AI systems including robots and autonomous vehicles
Security for Embodied AI Systems
Research on Large Language Models in Security for Embodied AI Systems
Securing the Physical AI Frontier
Identifying and addressing vulnerabilities in embodied AI systems
Safety-First AI for Self-Driving Cars
Personalized curriculum learning for autonomous vehicles in critical scenarios
AI Vision for Safer Intersections
Using GPT-4o to detect traffic conflicts and enhance road safety
SafeAuto: Enhancing Autonomous Driving with AI
Integrating safety knowledge into multimodal foundation models
SafeVLA: Making Robots Act Safely
Integrating Safety into Vision-Language-Action Models via Reinforcement Learning
Human-Guided USV Swarm Intelligence
Aligning Multi-Agent Reinforcement Learning with Human Preferences
Securing LLM-Robot Integration
A formal verification approach for safe AI-controlled robots
Evaluation of Safety Cognition Capability in Vision-Language...
By Enming Zhang, Peizhe Gong...
Smart Pedestrian Trajectory Prediction
Using LLMs with Chain-of-Thought Reasoning for Enhanced Security Applications
Enhancing Robot Safety with AI
LLM-powered risk perception for safer robotic task planning
SafePlan: Making LLM-Powered Robots Safer
A formal logic framework to prevent unsafe robot actions
Smarter Autonomous Driving During Perception Failures
Using LLMs to Apply Human-like Commonsense in Critical Situations
CoT-Drive: Making LLMs Drive Smarter
Real-time motion forecasting for autonomous vehicles using chain-of-thought prompting
Securing AI-Powered Robots
A layered safety architecture to prevent LLM vulnerabilities from causing physical harm
Fast & Slow: The Future of Safe Autonomous Driving
Integrating VLMs with Traditional Planners for Enhanced Safety
Securing AI-Powered Robots
Developing safety benchmarks for robots using large vision-language models
Applying Vision-Language Models to Driver Safety
Exploring VLMs for advanced driver monitoring systems
Securing LLM-Powered Robot Transactions
A cybersecurity framework for autonomous AI agents in e-commerce
