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Hi, my name is

Radha Lahoti

Welcome to my website!

I am a Robotics Researcher pursuing my Dual Degree (B. Tech. + M. Tech.) in Mechanical Engineering at IIT Bombay. My research interests are primarily dedicated to the fields of Design, Dynamics and Control for bio-inspired robots.

About Me

I am a Mechanical Engineering student currently in the fifth year of my Dual degree (B. Tech. + M. Tech.) program at IIT Bombay, specializing in Computer-Aided-Design and Automation, and pursuing a minor degree in Aerospace Engineering.

I am deeply interested in the fields of Multi-body Dynamics and Control, Mechanical Design, Biomechanics, Robotics and Automation, and their applications to Bio-inspired and Biomedical Robots and Aerial Vehicles.

I am a sport enthusiast and a dedicated basketball player. I also love dancing and sketching and always am on the lookout for adventures similar to the ones in books! Yeah I am an avid reader, I like adventure stories, detective stories, science fiction and suspense thrillers.

Here are a few technologies I've been working with recently:

  • Python
  • C++
  • MATLAB
  • Simulink
  • SolidWorks
  • TIVA CCS
  • Arduino IDE
  • ANSYS
  • ADAMS
  • Fusion 360
  • AutoCAD
  • LaTeX

These are some of my recent achievements:

  • Innovation Grant Awardee, IISc Bangalore
  • Department Rank 1, Mechanical Engineering, IIT Bombay
  • Institute Academic Prize 2021
  • All India Rank 386, JEE Advanced 2017
Headshot

Work Experience

Controller Design & Tuning For Three-Way-Catalytic Converter @ Purdue University

June - August 2020

Guide: Prof. Gregory Shaver
(School of Mechanical Engineering, Purdue University)

Developed a PID controller utilizing the models of feed-gas and Three-Way-Catalyst (TWC) to robustly control the oxygen storage level of the catalyst at a desired set point, for efficient automobile exhaust emission control in the run for clean energy

  • Studied the working of a Three-Way-Catalytic converter and fractional oxidation state based emission control
  • Obtained a linearized state-space TWC plant model and designed a Routh-Hurwitz stable PID controller
  • Reduced the steady state error from an initial value of 21% to 5.68% by tuning the controller gains using Ziegler-Nichols technique on the non-linear plant, and to 8.05% using Lead Lag design technique on the linearized plant

Key Research Projects

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