On the Vulnerability of LLM/VLM-Controlled Robotics

Documenti analoghi

• REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback
  di: Chakraborty, Souradip, et al.
  Pubblicazione: (2023)
• SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models
  di: Wu, Xiyang, et al.
  Pubblicazione: (2026)
• DMCA: Dense Multi-agent Navigation using Attention and Communication
  di: Arul, Senthil Hariharan, et al.
  Pubblicazione: (2022)
• FALCON: Future-Aware Learning with Contextual Object-Centric Pretraining for UAV Action Recognition
  di: Xian, Ruiqi, et al.
  Pubblicazione: (2024)
• Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
  di: Patel, Bhrij, et al.
  Pubblicazione: (2023)