Sachin Sakthi Kuppusami Sakthivel
Papers
3
Total Citations
33
H-Index
3
About
Sachin Sakthi Kuppusami Sakthivel is a researcher at the forefront of intelligent robotics and autonomous systems, with key contributions in visual object tracking and swarm robot control. His work bridges computer vision and multi-agent coordination, addressing critical challenges in real-world deployments. His most cited paper, “Learning a Context-Aware Environmental Residual Correlation Filter via Deep Convolution Features for Visual Object Tracking” (2024, 23 citations), advances discriminative correlation filter (DCF)-based trackers by integrating deep convolutional features, significantly improving tracking robustness for applications in video surveillance, navigation, and autonomous vehicles. In the domain of swarm robotics, Sakthivel tackles the practical issue of wheel slippage in nonholonomic mobile robots. His 2025 paper on “Distributed Observer-Based Adaptive Trajectory Tracking and Formation Control” (7 citations) introduces adaptive controllers that compensate for unknown slippage, a critical step toward reliable logistics and industrial automation. Further extending this work, his “Cascade-Based Distributed Estimator Tracking Control” (2025, 3 citations) develops a leader–follower framework using cascade system theory, enabling scalable and robust formation control. Together, these contributions demonstrate Sakthivel’s impact in creating more adaptive, context-aware, and resilient robotic systems for real-world environments.
Research Focus
Key Achievements
Top Papers
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