Praneet Bhoj
Papers
2
Total Citations
4
H-Index
2
About
Praneet Bhoj is a pioneering researcher at the intersection of foundation models and space robotics, exploring how large language models and vision-language systems can be adapted for extraterrestrial applications. His most notable contribution is **Space-LLaVA**, a vision-language model specifically designed to operate in off-world environments. This work addresses three core challenges in future space robotics: enabling robots to understand complex, unstructured tasks beyond Earth—such as lunar or Martian exploration—by leveraging the contextual intelligence of foundation models. While still early in its citation trajectory (with 2 citations each for his 2024 and 2025 papers), Space-LLaVA represents a novel and timely synthesis of AI and space technology. Bhoj’s research is significant for proposing how general-purpose AI capabilities can be fine-tuned for the extreme constraints of space, including limited data, communication delays, and harsh environments. His work positions him as a forward-thinking contributor to the emerging field of AI-driven autonomous space systems, with potential implications for future NASA and commercial missions. For students and researchers, Bhoj’s work exemplifies how cutting-edge AI can be repurposed for humanity’s most ambitious frontiers.
Research Focus
Key Achievements
Top Papers
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