Sanjay David

Papers

Total Citations

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About

Sanjay David’s research lies at the intersection of robotics, sensor technology, and control systems, with a particular focus on humanoid robot locomotion and balance. His most-cited work, “Review of sensors and sensor integration for the control of a humanoid robot” (2011), critically evaluates the sensor types essential for bipedal stability and gait generation, emphasizing the need for high accuracy and resolution in real-time control. This foundational review has garnered 11 citations, serving as a key reference for researchers developing sensor suites for humanoid platforms. David’s contributions highlight the practical challenges of integrating inertial, force, and joint sensors to achieve robust, dynamic walking. His work is especially valuable for students and engineers entering the field, as it distills complex sensor requirements into actionable insights. By bridging sensor design with control theory, David has helped advance the reliability of humanoid robots in unstructured environments. His ongoing efforts continue to shape how robots perceive and interact with their surroundings, making his research a cornerstone for those building the next generation of autonomous, human-like machines.