Lena Susianti

Sepuluh Nopember Institute of Technology

Papers

Total Citations

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About

Lena Susianti is a robotics researcher whose work focuses on enhancing safety and comfort in human-robot interaction through advanced motion planning. Her most notable contribution is the Safe Dynamic Window Approach (SDWA), an extension of the classical Dynamic Window Approach (DWA) that integrates a Threat Level Index to navigate both static and dynamic obstacles. This innovation addresses critical challenges in autonomous mobile robotics, particularly in environments requiring close human-robot collaboration. Her 2024 paper on SDWA has already garnered early citations, reflecting growing interest in her approach to obstacle avoidance. By prioritizing safety criteria alongside traditional navigation metrics, Susianti’s research bridges the gap between theoretical path planning and real-world deployment, with potential applications in service robotics, autonomous vehicles, and industrial automation. Her work represents a meaningful step toward more intuitive and risk-aware robotic systems, positioning her as an emerging voice in the field of safe autonomous navigation.