Boushaki Razika

Papers

Total Citations

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About

Boushaki Razika is a researcher specializing in robotics, with a focus on mobile manipulation and task planning. Her most cited work, "Layered task planning for mobile manipulators" (2019), introduces a hierarchical framework that decomposes complex manipulation tasks into manageable layers, enabling efficient coordination between mobility and manipulation in robotic systems. This contribution addresses critical challenges in autonomous robotics, particularly in dynamic environments where robots must adapt to changing conditions. While her citation count is modest, with 3 citations for this key paper, her work lays foundational groundwork for advancing mobile manipulator autonomy. Razika’s research is notable for its practical emphasis on real-world deployment, bridging the gap between theoretical planning algorithms and physical robotic execution. Her achievements include developing strategies that enhance the flexibility and robustness of mobile manipulators, which are essential for applications in manufacturing, logistics, and service robotics. As a researcher, she contributes to the growing field of intelligent robotics, where her layered approach offers a scalable solution for complex task sequencing. Her work continues to inspire further exploration into autonomous systems that can seamlessly integrate perception, planning, and action.