Satyanarayana G. Manyam
United States Air Force Research Laboratory, Wright-Patterson Air Force Base
Papers
8
Total Citations
125
H-Index
5
About
Satyanarayana G. Manyam is a leading researcher in robotic path planning, with a focus on curvature-constrained and multi-agent systems. His foundational work on Dubins paths—shortest routes for vehicles with turning radius limits—has produced tight lower and upper bounds for paths through sequences of points, with his 2017 paper garnering 60 citations. Manyam’s contributions extend to car-like robots visiting waypoints under field-of-view constraints, where he developed near-optimal algorithms that balance path length and sensor coverage. In the domain of urban air mobility, he pioneered a coupled path planning and energy management framework for hybrid air vehicles, addressing noise restrictions in urban zones. His work on multi-agent systems includes optimal path planning for convoy-support vehicle pairs through repairable networks and cooperative algorithms for cardinal-support robot teams. Manyam’s innovative G* bounding technique offers optimality guarantees for curvature-constrained shortest paths in obstacle-rich environments. With papers spanning from 2016 to 2023, his research directly impacts autonomous navigation in logistics, surveillance, and urban transportation, making him a key figure in advancing practical, provably optimal path planning for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Tightly Bounding the Shortest Dubins Paths Through a Sequence of Points60 citations · 2017
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- 4Dubins paths through a sequence of points: Lower and upper bounds15 citations · 2016
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- 7An Approximation Algorithm for an Assisted Shortest Path Problem2 citations · 2021
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