Roopak Karulkar
2018-2022, Now: Agility Robotics
- rkarulka@nd.edu
I am a Ph.D. student in the ROAM Lab and I received my B.S. and M.S in Mechanical Engineering from the University of Texas at Arlington. I am interested in optimization, control and estimation of dynamical systems. My research focuses on human intent recognition for robotic exoskeletons. Over the past year, my research has included the application of Kalman filtering to human locomotion to infer intent.
Experience
Agility Robotics (2022 - Present)
Education
Ph.D. University of Notre Dame
M.S. University of Texas at Arlington
B.S. University of Texas at Arlington
Publication
Journal
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R. M. Karulkar and P. M. Wensing. Personalizing intended gait speed estimation for lower-limb exoskeleton users with novel walking data. IEEE Robotics and Automation Letters, 7(4):9723–9730, Oct. 2022. doi: 10.1109/LRA.2022.3191039.
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R. M. Karulkar and P. M. Wensing. Using footsteps to estimate changes in the desired gait speed of an exoskeleton user. IEEE Robotics and Automation Letters, 6(4):6781–6788, Oct. 2021. doi: 10.1109/LRA.2021.3096163.
Conference
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R. M. Karulkar and P. M. Wensing. Application of interacting models to estimate the gait speed of an exoskeleton user. In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3452–3458, Las Vegas, NV (virtual), Oct. 2020. doi: 10.1109/IROS45743.2020.9341110.
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R. M. Karulkar and P. M. Wensing. Towards detecting the intended gait speed of exoskele- ton users. In Proceedings of the 45th Meeting of the American Society of Biomechanics, 2021.
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R. M. Karulkar and P. M. Wensing. Footstep-based detection of intended gait speed for exoskeleton users. In Proceedings of Dynamic Walking 2021, 2021.