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About

Md Nasir Uddin Laskar is a robotics researcher whose work centers on autonomous navigation, path planning, and motion control for mobile robots. His most influential contribution, the BA* algorithm (115 citations), introduced an online complete coverage solution for cleaning robots, enabling efficient and systematic traversal of unknown environments—a foundational advance for domestic and industrial service robotics. Laskar further explored state-space decomposition by integrating Extended Kalman Filters with K-means clustering, improving localization and map-building in uncertain settings. He also developed geometric modeling techniques to represent arbitrary obstacle shapes, enhancing the adaptability of motion planning algorithms. Though his citation record is modest, the BA* paper remains a key reference in coverage path planning, demonstrating lasting impact in applied robotics. Laskar’s work bridges theoretical path optimization with real-world constraints, offering practical tools for autonomous systems operating in cluttered, dynamic spaces.