Simulation of Walking with a Robotic Exoskeleton
Goal: Analyze effects of HAL on human gait using musculoskeletal modeling and simulation
- Create a model of Human wearing HAL
- Use motion capture, EMG and forceplate data to simulate motion of human walking on treadmill wearing HAL to study kinematic parameters
- Study muscle activation patterns
- Use Inverse Dynamics tools to study joint forces and torques
Building an Instrumented Glove
Goal: Obtain kinematic data including position, velocity, acceleration of a subject performing a grasping task
The glove is equipped with MEMS based accelerometers at the finger tips and infrared markers to give complete information about the grasping task.
Optimizing Performance of Reciprocating-Fork Hopper Feeder
Goal: Use factorial design to systematically evaluate performance of Reciprocating-Fork Hopper Feeder and suggest optimal operating parameters.
Impact Attenuator Design for FSAE Vehicle
Goal: Design an impact attenuator to be mounted on the front bulkhead of the vehicle.
I was in-charge of the Vehicle Safety design subgroup in the first season, and my primary responsibilities were:
- Conception and validation of an aluminum honeycomb-based Impact Attenuator for the vehicle as per competition specifications
- Acquisition of honeycomb sheets, and fabrication of the attenuator
- Preparing and presenting the reports on vehicle safety during static test events
Additionally, as it was the first season of the team, I also actively participated in
- Marketing and publicity – we secured 90% sponsorship for the purchase of aluminum honeycomb sheets
- Design of team brochure
Accolades for the team in Formula SAE India 2009 Design Challenge
- First successful vehicle roll-out from NSIT
- Widely appreciated for the design of impact attenuator at the event
- Ranked 4 th in Design Evaluation, 4 th in Design Presentation and 6 th overall (out of 28 teams).
Intelligent Automotive Suspension System
Goal: Investigate the performance of an active suspension system with PID and Fuzzy Logic Controllers
Design of a social robot using LEGO Mindstorms
Goal: Design a socially interactive robot based on cognitive neuroscience principles
Using Neural Networks for Predicting Closing Values of NIFTY index
Goal: Use Artificial Neural Network (ANN) to model closing values of the National Stock Exchange Index of Indian (NIFTY).
A 2-layer neural network with backpropagation is trained on historical data from 2000-2014, and its performance is evaluated for varying number of neurons in the hidden layer of the network.
Optimization of Dry Etching of GaN using Taguchi Method
Goal: Optimize low pressure dry etching of a- plane and c-plane GaN using Taguchi arrays.