Udit Ekansh
Udit Ekansh
I thrive on solving complex challenges in robotics and autonomy. If you’re in the Greater Lafayette area, let's get coffee!
✅Currently open to opportunities in Robotics, Autonomy, and Physical AI.
I am a Master’s student in Autonomy at Purdue University’s Institute for Control, Optimization, and Networks (ICON) . My research, advised by Professor Yan Gu , explores how humanoid robots can support walking assistance, with the broader goal of advancing safe and adaptive human–robot interaction. I previously worked with Professor Ziran Wang on Cooperative Driving Automation, where I developed optimization-based controllers for multi-agent systems using vehicle-to-vehicle (V2V) communications. By working on these projects, I have developed a central interest in cognitive modeling of human factors for feedback control and in leveraging robot learning and foundation models to build autonomous systems that can reason about human behavior and operate reliably in dynamic, safety-critical, and human-in-the-loop environments. Looking ahead, as an aspiring PhD student, I aim to focus on human–robot interaction, especially exploring the human side of these systems, to bridge human behavior modeling with feedback control for more adaptive, safe, and trustworthy autonomous systems.
Prior to joining Purdue, I worked as a Research Assistant at the Indian Institute of Technology, Bombay (IIT-B), under the guidance of Professor Leena Vachhani. My work at IIT-B focused on Autonomous Underwater Vehicle (AUV) navigation in safety-critical and highly stochastic unknown underwater environments. I also hold a Bachelor’s degree in Mechanical Engineering with a specialization in Mechatronics and Automation from Maharashtra Institute of Technology, india. .
View my resume here.
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