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cs.RO2026
Safe Task Planning with Long-Term Graph Memory for Embodied Agents
Siyuan Li, Taiyan Lang, Aoqi Yan +6
Large language models (LLMs) and vision-language models (VLMs) have significantly advanced zero-shot task planning for embodied agents. However, most LLM- and VLM-driven methods st…
cs.RO2026
ConceptTree: Bringing Semantic Transparency to Black-Box Decision Making for Robotic Manipulation
Yongyan Wen, Feifan Liu, Jinyi Chen +3
Establishing interpretable decision-making processes in long-horizon robotic manipulation is critical for enabling reliable human oversight and intervention. However, existing appr…
cs.RO2024
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
Siyuan Li, Zhe Ma, Feifan Liu +7
Robot task planning is an important problem for autonomous robots in long-horizon challenging tasks. As large pre-trained models have demonstrated superior planning ability, recent…