Rohit Arora
Papers
1
Total Citations
10
H-Index
1
About
Rohit Arora is a roboticist whose research centers on motion planning, manipulation, and autonomy in high-dimensional, cluttered environments. His most influential work tackles the formidable challenge of path planning for a 21-degree-of-freedom snake-like manipulator navigating the confined interior of a gas turbine for inspection. By integrating heuristic search with optimization-based primitives, Arora demonstrated a novel strategy that balances computational efficiency with the ability to find feasible, collision-free paths in complex industrial settings. This work, published in 2021, has already garnered 10 citations, signaling its relevance to the robotics community. Arora’s contributions are particularly notable for bridging the gap between classical search-based planning and modern optimization techniques, offering a practical pathway for deploying hyper-redundant manipulators in real-world maintenance and repair tasks. His research holds promise for advancing automation in aerospace and energy sectors, where access to tight spaces is critical. For students and researchers, Arora’s work exemplifies how creative algorithmic design can solve high-dimensional problems, inspiring further exploration into scalable, robust motion planning for next-generation robots.
Research Focus
Key Achievements
Top Papers
- 1