Scholar
Muhammad Fadhil Ginting
Google Scholar ID: RTycc8AAAAAJ
PhD Candidate at Stanford University
Citations & Impact
Citations
795
H-index
9
i10-index
8
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at conferences such as ICRA 2023, IROS 2022, RSS 2024; Organized several workshops; Presented a Field AI robot demo at TED AI event; Supported by the Stanford Graduate Fellowship.
Research Experience
- Visiting researcher at NASA Jet Propulsion Laboratory (JPL) for two years, key member of the JPL-led team that won the 2020 DARPA Subterranean Challenge Urban Circuit; Research internship at Field AI starting from June 2022.
Education
- PhD candidate in AI Robotics at Stanford University, advised by Prof. Mykel Kochenderfer; Master’s degree in Robotics from ETH Zurich; Bachelor of Science in Electrical Engineering from Institut Teknologi Bandung, graduated as valedictorian.
Background
- Research interests lie in enabling embodied AI for robots to navigate and interact with unstructured environments using risk-aware autonomy and large foundation models. A full-stack roboticist with experience in developing cutting-edge algorithms for perception, planning, control, and communication, as well as deploying robots in the field for real-world use cases.
