Raunak Srivastava
Tata Consultancy Services (India), Tennessee Cancer Specialists
Papers
10
Total Citations
86
H-Index
7
About
Raunak Srivastava is an emerging space robotics researcher whose work sits at the intersection of autonomous control systems, active debris removal, and on-orbit servicing technologies. His research addresses one of the most pressing challenges in modern spaceflight: the proliferation of space debris in low Earth orbit and the development of robotic solutions to safely capture and remove it. Srivastava's most significant contributions center on advancing control methodologies for floating space robots — satellites equipped with robotic manipulators operating in the complex, nonlinear dynamics of microgravity. His work spans nonlinear Model Predictive Control (MPC), deep reinforcement learning, and hybrid learning-based approaches, with papers exploring both free-floating and rotation-floating robot configurations. His comparative studies and hardware-in-the-loop verification work demonstrate a commitment to translating theoretical frameworks into practically implementable systems. With a growing citation record totaling over 85 citations, his 2022 papers on debris-chasing small satellites and control architecture comparisons have each garnered 13 citations, reflecting strong community uptake. More recently, his integration of neural fields with MPC for grasp-conditioned whole-body control signals an ambitious push toward intelligent, geometry-aware debris capture. Srivastava's portfolio positions him as a promising voice in the global effort to ensure long-term space sustainability.
Research Focus
Key Achievements
Top Papers
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- 7The Post Mission Disposal Analysis of PSLV Debris at De-Orbited Altitude9 citations · 2023
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