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cs.RO2025
Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
Seungjae Lee, Daniel Ekpo, Haowen Liu +3
Exploration is essential for general-purpose robotic learning, especially in open-ended environments where dense rewards, explicit goals, or task-specific supervision are scarce. V…
cs.RO2024
VeriGraph: Scene Graphs for Execution Verifiable Robot Planning
Daniel Ekpo, Mara Levy, Saksham Suri +3
Recent progress in vision-language models (VLMs) has opened new possibilities for robot task planning, but these models often produce incorrect action sequences. To address these l…