Walaa Gouda

Egypt-Japan University of Science and Technology, Jouf University

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About

Walaa Gouda is a researcher focused on advancing autonomous navigation and motion planning for humanoid robots, with a particular emphasis on vision-based systems. Her work centers on enabling robots like the NAO humanoid to perceive, map, and move through complex, unknown environments using only onboard sensors. Gouda’s most cited paper, “Vision based SLAM for humanoid robots: A survey” (2013, 24 citations), provides a foundational overview of designing vision-based simultaneous localization and mapping (VSLAM) systems, highlighting the critical role of vision sensors in robot autonomy. She has made significant contributions to whole-body motion planning, as seen in her 2014 paper on complex motion planning for the NAO robot (9 citations), where she developed integrated approaches for climbing stairs, stepping over obstacles, and navigating uneven terrain. Her later work (2020) extends these capabilities to include obstacle avoidance using monocular cameras. Gouda’s research is notable for its practical, sensor-limited approach, pushing the boundaries of what humanoid robots can achieve in real-world indoor settings without external infrastructure—a key step toward truly autonomous humanoid assistance.