Srajan Goyal

Papers

Total Citations

H-Index

About

Srajan Goyal is a pioneering researcher at the intersection of artificial intelligence and space robotics, best known for his groundbreaking work on AI-enhanced digital twin technologies. His most-cited paper, "RobDT: AI-enhanced Digital Twin for Space Exploration Robotic Assets" (2023), introduces a novel framework that integrates real-time AI simulations with physical robotic systems, enabling more resilient and autonomous operations in extreme extraterrestrial environments. This work has garnered 3 citations, signaling early recognition for its potential to revolutionize how space agencies design, test, and manage robotic assets—from rovers to orbital manipulators—by creating virtual replicas that predict failures and optimize performance. Goyal’s contributions bridge the gap between digital twin theory and practical space exploration, offering a scalable solution for missions where remote troubleshooting is impossible. His research not only advances the field of AI-driven robotics but also supports the next generation of lunar and Martian exploration, where autonomous decision-making is critical. With a focus on robustness and adaptability, Goyal is shaping the future of space technology, making him a rising voice in aerospace engineering and artificial intelligence.