Prasanna Sriganesh
Papers
2
Total Citations
12
H-Index
2
About
Prasanna Sriganesh is a roboticist whose research focuses on enabling autonomous mobility for robots operating in complex, human-centric environments. His key contributions lie in the areas of 3D perception, motion planning, and humanoid locomotion. Sriganesh is best known for his work on "Fast Staircase Detection and Estimation using 3D Point Clouds with Multi-detection Merging for Heterogeneous Robots" (2023, 8 citations), which addresses a critical challenge for robots navigating multi-level buildings. This work introduces a robust, real-time algorithm that allows heterogeneous robot platforms to reliably detect and estimate staircases from point cloud data, significantly enhancing their ability to operate autonomously in unstructured indoor spaces. In earlier work, "Solving Inverse Kinematics using Geometric Analysis for Gait Generation in Small-Sized Humanoid Robots" (2020, 4 citations), he tackled the problem of stable locomotion for humanoid platforms, using geometric methods to generate efficient and balanced gaits. By bridging perception and control, Sriganesh’s research contributes directly to the practical deployment of both wheeled and legged robots in real-world, human-scale environments.
Research Focus
Key Achievements
Top Papers
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- 2