West Lafayette, Indiana, United States
We perform research at the intersection of robotics, machine learning, and artificial intelligence to build general-purpose autonomous robotic systems for practical, real-world environments.
Worked on various research projects to develop: - Computationally-effcient learning-based motion planning methods. - Transferable Reinforcement Learning algorithms. - Robot navigation and manipulation for automation and surgery.
Worked on a vision-based robot task planning research project.
I contributed towards the following projects: 1- RGB-D based human activity recognition using the dual stream convolutional neural networks. 2- Facial expressions recognition through deep neural networks. 3- Collected RGB-D dataset of daily life human activities. 4- Treatment of Dyslexia patients with the help of HRI. learning.al human-robot interaction.
1- Led the team solving navigation and planning problems of an autonomous wheelchair. 2- Team coordinator and co-supervisor of the teams qualified for RoboCup Standard Platform League in 2014 and 2015.
Worked on the following projects: 1- Person tracking by a mobile robot using 3D features. 2- Path planning of autonomous vehicles in environments with narrow passages. 3- Path planning of autonomous vehicles in time-varying environments. 4- Goal-directed sampling heuristics for sampling-based planning methods. 5- Solutions to the perceptual aliasing problem in map generation and localization. 5- Optimal collision avoidance method for autonomous vehicles operating in a joint space. 7- Constructed a sensor network system for implementation and testing of motion planning algorithms on Pioneer P3AT robot.