Kaushik Halder

Papers

Total Citations

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About

Kaushik Halder is a rising researcher in the field of intelligent robotics and control systems, with a focus on autonomous navigation and surgical robotics. His work centers on developing adaptive algorithms for trajectory tracking, path planning, and redundancy resolution in robotic manipulators. Halder’s most cited paper, "Trajectory tracking control of a mobile robot using fuzzy logic controller with optimal parameters" (2024, 19 citations), introduces a novel approach that integrates fuzzy logic with particle swarm optimization to enhance the precision of two-wheeled differential drive robots, addressing the challenge of tuning membership functions for optimal performance. He has also contributed to medical robotics with "Path Planning for Robot Assisted Steerable Bevel-Tip Needle in 3D Dynamic Environment" (2025, 3 citations), tackling the complex problem of needle steering in minimally invasive surgery to avoid anatomical obstacles while maintaining accuracy. Additionally, his work on "SOM Network with Weighted Least Norm Matrix Based Redundancy Resolution for a 5-DOF Spatial Robotic Manipulator" (2023, 1 citation) demonstrates his expertise in intelligent control, using self-organizing maps to resolve joint limits during 3D trajectory tracking. Halder’s research, though early in its impact, shows promise in advancing autonomous and medical robotics through optimized, adaptive control strategies.