Research Mentoring
Research Assistantship
Research in bipedal robotics is a complex and time-consuming endeavor. Having gotten my first workshop paper accepted, I recognized that while I could eventually complete the work that I wanted to finish in the project before I felt comfortable submitting to a journal on my own, the process would be much faster (and less stressful) if I brought in a Masters student to help me code, perform experiments, and be another sounding board to bounce ideas off of. Thus, I took on my first Masters student in the Fall 2022 semester. Not only did she provide much-needed technical assistance, but she also helped me become a more confident researcher by letting me practice and become more comfortable explaining complex research concepts.
Biped Bootcamp
During my transition from mechanical engineering to robotics, I went through my advisor’s “Biped Bootcamp”, a fast-paced, rigorous, one-on-one informal course that teaches the fundamentals of bipedal robotics. As an avid note-taker, I documented the lessons I learned in an LaTeX document, supplementing the informal lessons I learned from my advisor with additional insight that I gained from speaking with senior lab members, taking courses, and reading research articles and textbooks. This resulted in a 100-page self-teaching technical document that walked the reader through how to simulate and animate a three-link walker in Matlab. The document broke down core bipedal robotics principles including equations of motion, kinematics and dynamics, input-output feedback linearization, optimization, and more.
Recognizing the teaching potential behind the document I created, my advisor and I decided that it was time for me to mentor undergraduate students. I took on my first five students (freshmen and sophmores) in the Winter 2022 semester, teaching and mentoring them in the foundational knowledge of bipedal locomotion using the 100-page “Biped Bootcamp” technical document that I wrote. After finishing going through the document, some of the students went on to create an interactive/self-teaching version of the code from the document using Matlab grader. Others hoped to implement the lessons that they learned during the bootcamp on their own personal robotic projects. I continued to mentoring students in later semesters, introducing them to a more research-focused way of learning as I taught them how to simulate and control the five-link walker using Matlab and Simulink. One student went on to teach the original Biped Bootcamp document in the Fall 2022 semester to three additional students of her own using Matlab Grader to make the learning experience more interactive. She is continuing to take on additional students in the Winter 2023 semester.
Qualitative Research Design
While still in the mechanical engineering program at Michigan, I worked with an undergraduate student in the Fall 2019 semester on a qualitative research project that investigated “design fixation” among college students and practitioners. Together we coded interviews, wrote analytical memos, and constructed individual design timelines to understand thought processes behind certain design decisions.
Meet the students below!
Masters Students
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Aayushi Shrivastava
Fall 2022 - Present
MS, Robotics
Undergraduate Students
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Ankita Mahajan
Winter 2022 - Present
BS, Electrical Engineering
Computer Science, minor -
Justin Lu
Winter 2022 - Present
BS, Computer Science
BS, Robotics -
Victor Popa-Simil
Winter 2022
BS, Biomedical Engineering
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Yamato Miura
Winter 2022 - Present
BS, Computer Science
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Yichen Wang
Winter 2022 - Winter 2023
BS, Mechanical Engineering
German, minor -
Miles Bronson
Fall 2022
BS, Computer Science
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Nadya Barghouty
Fall 2019
BS, Mechanical Engineering (2021)
Grand Mentees!
These are students who studied the Biped Bootcamp document under the tutelage of my student Ankita Mahajan
Laasya Chukka (Fall 2022) — BS, Computer Science
Gurnoor Kaur (Fall 2022) — BS, Robotics, minor in Computer Science
Max Rucker (Fall 2022) — BS, Robotics
Vanya Krishna (Winter 2023) — High School, junior
Ishrat Khan (Winter 2023) — BS, Robotics
Ari Wang (Fall 2023) — Biomedical Engineering, minor in Computer Science
Celing Li (Fall 2023) — BS Robotics, minor in Engineering Physics
Darren Cleeman (Fall 2023) — BS, Engineering
Emerald Taylor (Fall 2023) — BS, Robotics
Justin Boverhof (Fall 2023) — BS, Robotics