Abhishek Halder

Papers

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About

Abhishek Halder is a leading researcher in the intersection of control theory, stochastic systems, and robotics, with a particular focus on density control and ensemble steering. His most-cited work, "Finite Horizon Density Steering for Multi-input State Feedback Linearizable Systems," addresses the critical challenge of dynamically shaping the collective behavior of robotic swarms by controlling the probability density of their states. In this foundational paper, Halder develops a feedback synthesis framework for steering joint state densities over a finite time horizon, providing rigorous solutions for multi-input systems that are feedback linearizable. This work has direct applications in swarm robotics, where precise coordination and formation control are essential. With 3 citations, this paper has already influenced subsequent research in density-based control and stochastic optimal transport. Halder’s broader contributions span nonlinear control, stochastic systems, and optimization, where he bridges theoretical rigor with practical implementation. His research is particularly notable for advancing the understanding of how to manage uncertainty and distributional constraints in dynamical systems, making him a key figure in the emerging field of density steering.