3 papers
cs.CR2026
Ask the Expert: LLM-Guided Reinforcement Learning for Autonomous Cyber Defense
Fernando Martinez, Abhishek Satyam, Tao Li +3
Policy-based reinforcement learning (RL) approaches have produced promising results for autonomous cyber defense; however, they are sample-inefficient in settings where defenders m…
cs.RO2025
Understanding while Exploring: Semantics-driven Active Mapping
Liyan Chen, Huangying Zhan, Hairong Yin +2
Effective robotic autonomy in unknown environments demands proactive exploration and precise understanding of both geometry and semantics. In this paper, we propose ActiveSGM, an a…
cs.CV2025
Semantic Consistent Language Gaussian Splatting for Point-Level Open-vocabulary Querying
Hairong Yin, Huangying Zhan, Yi Xu +1
Open-vocabulary 3D scene understanding is crucial for robotics applications, such as natural language-driven manipulation, human-robot interaction, and autonomous navigation. Exist…