Grace Tan-Wang
Papers
1
Total Citations
2
H-Index
1
About
Grace Tan-Wang is a pioneering researcher in autonomous space exploration systems, with a primary focus on onboard scheduling and execution for extreme planetary environments. Her most-cited work, "Utility-Driven Approach to Onboard Scheduling and Execution for an Autonomous Europa Lander Mission" (2024), tackles the formidable challenge of searching for biosignatures on Jupiter's icy moon Europa. This paper introduces a novel utility-driven framework that enables spacecraft to make intelligent, real-time decisions under immense uncertainty, limited energy, and scarce communication opportunities—critical for missions where Earth-based control is impractical. While her citation count is still growing, Tan-Wang's contributions are already shaping the future of autonomous exploration in the most hostile environments of our solar system. Her work represents a significant leap forward in artificial intelligence for space missions, offering a blueprint for how robotic explorers can independently prioritize scientific objectives and adapt to unpredictable conditions. For students and researchers, Tan-Wang's research exemplifies the cutting-edge intersection of AI, robotics, and planetary science, demonstrating how autonomous systems can unlock the secrets of distant worlds.
Research Focus
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Top Papers
- 1