Muhammad Fadhil Ginting
Papers
14
Total Citations
423
H-Index
7
About
Muhammad Fadhil Ginting is a robotics researcher specializing in autonomous systems, multi-robot coordination, and robotic navigation in challenging and perceptually-degraded environments. He is perhaps best known for his central contributions to TEAM CoSTAR's NeBula autonomy framework, developed for the DARPA Subterranean Challenge — a landmark competition pushing the frontiers of underground robotic exploration. His work on LAMP 2.0, a robust multi-robot SLAM system for large-scale subterranean environments, has garnered over 160 citations and represents a significant advance in reliable localization and mapping under extreme conditions. His co-authored NeBula papers, collectively accumulating over 150 citations, detail the algorithms, hardware, and software architectures that ultimately helped TEAM CoSTAR win Phase II of the challenge. Beyond underground autonomy, Ginting has expanded his research into semantic reasoning and belief-based planning, developing systems like SEEK and Semantic Belief Graphs that enable robots to navigate and inspect unknown real-world environments under perceptual uncertainty. His early work deploying Boston Dynamics' Spot for long-range autonomous exploration further demonstrates his breadth across legged locomotion and field robotics. With a cumulative citation count exceeding 400, Ginting's research has made meaningful and lasting contributions to the autonomous robotics community.
Research Focus
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