Adhiti Raman
Papers
8
Total Citations
62
H-Index
4
About
Adhiti Raman is a robotics researcher whose work centers on the resilience and autonomy of complex robotic systems, with a particular focus on cable-driven parallel robots (CDPRs) and autonomous vehicles. Her most significant contributions address a critical vulnerability in CDPRs: single-cable failures that traditionally cause complete system shutdown. Raman pioneered a failure identification and recovery framework that leverages geometric reconfiguration of cable attachment points to restore lost static workspace, a breakthrough that has garnered 21 citations for her foundational 2022 paper. She further advanced this concept by applying reinforcement learning to control these reconfigurable systems, tackling the highly nonlinear dynamics introduced by cable flexibility and online reconfigurability. Beyond CDPRs, Raman has contributed to autonomous vehicle safety through model predictive control for obstacle avoidance, validated with scaled vehicles (15 citations), and has developed optimal pose estimation methods for SLAM applications. Her commitment to education is evident in her work empowering graduate engineering students with proficiency in autonomy and mobile robotics, addressing the growing industry demand for engineers skilled in distributed autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 5Empowering Graduate Engineering Students With Proficiency in Autonomy4 citations · 2018
- 6Wrench Analysis of Kinematically Redundant Planar CDPRs4 citations · 2021
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