Taralicin Deka
Papers
3
Total Citations
13
H-Index
2
About
Taralicin Deka is a rising star in astrodynamics and autonomous space exploration, whose work bridges the gap between theoretical motion planning and practical, intelligent spacecraft operations. His primary research areas include kinodynamic motion planning for relative spacecraft maneuvers and expert-informed autonomous science planning for planetary missions. In his most cited work (2023, 9 citations), Deka introduced an astrodynamics-informed, sampling-based algorithm that enables a spacecraft to reconfigure its state under simultaneous kinematic and dynamic constraints—a critical advancement for on-orbit servicing and formation flying. He further pushes the boundaries of autonomy with his contributions to the REASON-RECOURSE software framework (2023, 2 citations), which equips robotic landers with the ability to conduct science operations without real-time human input, addressing the challenges of time delays and unknown environments on distant bodies like Europa or Enceladus. His 2022 paper on expert-informed science planning (2 citations) lays the groundwork for missions that must make autonomous discoveries in dynamic, unpredictable settings. Deka’s work is foundational for the next generation of deep-space exploration, where spacecraft must think and act for themselves.
Research Focus
Key Achievements
Top Papers
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