Papers
11
Total Citations
41
H-Index
5
About
Seshadhri Srinivasan is a leading researcher in autonomous robotics, precision agriculture, and intelligent control systems, with a particular focus on enabling robust robot operation in challenging, real-world environments. His work addresses critical challenges in robot localization, mapping, and multi-agent coordination. Srinivasan has made major contributions to the development of consensus algorithms for robotic agents operating over unreliable wireless networks, as well as novel techniques for stochastic wheel-slip compensation and self-calibrating dead-reckoning sensors using neuro-fuzzy systems—advancements that are essential for accurate robot navigation on uneven terrain. His research extends into Agriculture 4.0, where he has developed provably correct configuration management for precision feeding systems, and into agricultural robotics with the creation of automated agronomic bots for plant disease detection. With over 40 citations across his most influential papers, Srinivasan’s impact is evident in his pioneering work on adaptive SLAM, terrain classification, and sensor fusion. His notable achievements include the development of the "keep zero as zero" polar correlation technique for LIDAR-based localization and confidence-weighted averaging for adaptive SLAM, cementing his reputation as an innovator in field robotics.
Research Focus
Key Achievements
Top Papers
- 1Consensus algorithm for robotic agents over packet dropping links6 citations · 2010
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- 3Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping6 citations · 2016
- 4Automated Agronomic Bot for Green Ailment Scanner5 citations · 2022
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- 7RPA Adoption in Healthcare Application2 citations · 2023
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- 10Optimal Pose Correction Technique for SLAM using Structural Regularity2 citations · 2019