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About

Ratnangshu Das is an emerging researcher working at the intersection of control theory, robotics, and autonomous systems. His work spans two compelling domains: surgical and diagnostic tele-manipulation, and formal methods for safe autonomous control. His most-cited contribution, a 2023 review on tele-manipulators for remote diagnostic procedures and surgery (16 citations), establishes him as a knowledgeable voice in medical robotics, synthesizing developments in remote surgical systems with implications for healthcare accessibility and precision medicine. Das's more recent and rapidly growing body of work centers on prescribed-time reach-avoid-stay (RAS) specifications — a sophisticated framework for ensuring that autonomous systems with unknown dynamics navigate safely, avoid obstacles, and remain within target regions within exact time horizons. His spatiotemporal tubes approach provides closed-form, approximation-free control strategies, a significant advance over existing methods. This framework has been extended to multi-agent settings through a negotiation-based planning protocol enabling collision-free coordination, and further formalized using control barrier functions for rigorous safety guarantees. Accumulating citations across publications from 2023 to 2025, Das demonstrates impressive momentum as a young researcher, with contributions that bridge theoretical control design and real-world robotic applications.