Surya Murugavel Ravishankar
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EDUCATION
Worcester Polytechnic Institute(WPI) , Worcester, MA
Master of Science in Robotics Engineering, CGPA : 4.0/4.0
May. 2021
National Institute of Technology, Trichy(NITT) , Tamil Nadu, India
Bachelor of Technology in Electronics & Communication Engineering, CGPA : 8.02/10.0
May. 2019
SKILLS
Languages: Python, MATLAB, C++, C#
Software & Tools: ROS, Gazebo, SolidWorks, TensorFlow, Scikit, OpenCV, Git, Unity
Operating Systems: Linux, Windows
WORK EXPERIENCE
Internship, Indian Statistical Institute , Kolkata, India
May. 2018 – Jul. 2018
? Conducted an experimental study on an ensemble of Radial Basis Function Networks(RBFN) for classifi-
cation, with kernels namely gaussian, thin-plate spline, multi-quadratic, inverse multi-quadratic.
? Improved accuracy by aggregating the outputs of RBFNs by a Multilayer Perceptron(MLP).
PROJECTS
Deep Reinforcement Learning for Chess , WPI
Mar. 2020 – Present.
? Implementing a general Reinforcement Learning algorithm that learns to play chess through self-play.
? Guiding a Monte-Carlo Tree search with the output from a residual convolutional neural network trained.
Sensor Fusion using Unscented Kalman Filter (UKF) , WPI
Mar. 2020 – Present.
? Estimating 6 DOF odometry of an autonomous car using IMU and GPS sensor data.
Navigation using Brain Signals for the Visually Impaired , WPI
Jan. 2020 – Present.
? Developing a Deep Learning architecture to classify EEG motor movement/imagery signals.
? Designing a belt that gives haptic feedback through vibration to the user, helping them navigate.
? Devised a head band that can be controlled using brain signals to sense the environment.
Street Sign Detection and Recognition for Autonomous Driving , WPI
Aug. 2019 – Dec. 2019
? Developed an algorithm based on HSL color space, to make the model robust to lighting and noise.
? Implemented a Convolutional Neural Network(CNN) architecture for the recognition of 43 road signs
on the German Traffic Sign Recognition dataset and achieved an accuracy of 97%.
Hand Orthosis, Assisting hand movements of TBI patients , AIM Lab, WPI
Aug. 2019 – Dec. 2019
? Modified a hand exoskeleton and achieved compliant open-loop admittance control.
? Calibrated the sensors for finger positioning using MOCAP, estimated their positions.
? Designed a simulation framework using ROS and Gazebo to test the admittance control scheme.
Snapcuit , Undergraduate Thesis, NITT
Jan. 2019 – May. 2019
? Developed an algorithm to auto-generate the simulation model of a circuit diagram on a paper.
? Recognized the electronic components using a Convolutional Neural Network(CNN) architecture and
generated a netlist for simulating using NGSpice.
Pepper, Mobile Robotics Development Platform , NITT
Nov. 2017 – Mar. 2018
? Built a differential drive robot that recognized and plotted objects to create a map of the inventory.
IRIS , Innovation Contest, NITT
Jan. 2017 – Apr. 2017
? Designed a low-cost portable voice-enabled personal assistant for the visually impaired, that helps them
read books, recognize objects and browse the internet.
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EDUCATION
Worcester Polytechnic Institute(WPI) , Worcester, MA
Master of Science in Robotics Engineering, CGPA : 4.0/4.0
May. 2021
National Institute of Technology, Trichy(NITT) , Tamil Nadu, India
Bachelor of Technology in Electronics & Communication Engineering, CGPA : 8.02/10.0
May. 2019
SKILLS
Languages: Python, MATLAB, C++, C#
Software & Tools: ROS, Gazebo, SolidWorks, TensorFlow, Scikit, OpenCV, Git, Unity
Operating Systems: Linux, Windows
WORK EXPERIENCE
Internship, Indian Statistical Institute , Kolkata, India
May. 2018 – Jul. 2018
? Conducted an experimental study on an ensemble of Radial Basis Function Networks(RBFN) for classifi-
cation, with kernels namely gaussian, thin-plate spline, multi-quadratic, inverse multi-quadratic.
? Improved accuracy by aggregating the outputs of RBFNs by a Multilayer Perceptron(MLP).
PROJECTS
Deep Reinforcement Learning for Chess , WPI
Mar. 2020 – Present.
? Implementing a general Reinforcement Learning algorithm that learns to play chess through self-play.
? Guiding a Monte-Carlo Tree search with the output from a residual convolutional neural network trained.
Sensor Fusion using Unscented Kalman Filter (UKF) , WPI
Mar. 2020 – Present.
? Estimating 6 DOF odometry of an autonomous car using IMU and GPS sensor data.
Navigation using Brain Signals for the Visually Impaired , WPI
Jan. 2020 – Present.
? Developing a Deep Learning architecture to classify EEG motor movement/imagery signals.
? Designing a belt that gives haptic feedback through vibration to the user, helping them navigate.
? Devised a head band that can be controlled using brain signals to sense the environment.
Street Sign Detection and Recognition for Autonomous Driving , WPI
Aug. 2019 – Dec. 2019
? Developed an algorithm based on HSL color space, to make the model robust to lighting and noise.
? Implemented a Convolutional Neural Network(CNN) architecture for the recognition of 43 road signs
on the German Traffic Sign Recognition dataset and achieved an accuracy of 97%.
Hand Orthosis, Assisting hand movements of TBI patients , AIM Lab, WPI
Aug. 2019 – Dec. 2019
? Modified a hand exoskeleton and achieved compliant open-loop admittance control.
? Calibrated the sensors for finger positioning using MOCAP, estimated their positions.
? Designed a simulation framework using ROS and Gazebo to test the admittance control scheme.
Snapcuit , Undergraduate Thesis, NITT
Jan. 2019 – May. 2019
? Developed an algorithm to auto-generate the simulation model of a circuit diagram on a paper.
? Recognized the electronic components using a Convolutional Neural Network(CNN) architecture and
generated a netlist for simulating using NGSpice.
Pepper, Mobile Robotics Development Platform , NITT
Nov. 2017 – Mar. 2018
? Built a differential drive robot that recognized and plotted objects to create a map of the inventory.
IRIS , Innovation Contest, NITT
Jan. 2017 – Apr. 2017
? Designed a low-cost portable voice-enabled personal assistant for the visually impaired, that helps them
read books, recognize objects and browse the internet.