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Welcome to my profile!


👩‍💻: About Me :

  • 🔭 Interested in making a future possible where humans can focus on important tasks at hand and leave mundane tasks of locomotion to intelligent robots and Self-Driving Cars, thus saving time

  • 🌱 Experienced in and exploring robot learning, robotic perception, and navigation subfields.

  • 💡 Research exposure: Deep Learning, Robot Learning, and Perception

  • 📜 Work history in Robot Control, ROS (AMRs), Robotic simulation, Computer Vision with C++ and python as preferred programming languages.

🛠️ Languages and Tools :

C++  Python  ROS  Gazebo Simulator  Vim  Docker  GNU/LINUX  OpenCV  CMake  Git 

Vaidehi Som's Projects

ai-driven-biometric-privacy-using-modified-cycle-gans icon ai-driven-biometric-privacy-using-modified-cycle-gans

This repo consists of my research work with Dr Harkeerat Kaur, in collaboration with the National Institute of Informatics, Japan and the Government of India. Modifies cycle GANs have been used to convert human biometrics for privacy protection

dynamic_obstacle_avoidance_using_lstm icon dynamic_obstacle_avoidance_using_lstm

We have compared 4 models- Vanilla LSTM, Social LSTM, OLSTM, and GRU to show their comparison for predicting non linear trajectories of pedestrians in different scenes. We demonstrate their performance on publically available datasets. We show how it is important to take into account the surroundings of the pedestrians to have a better accuracy

quadruped icon quadruped

Hobby project based on the open source MIT champ

routeoptimization icon routeoptimization

Optimizing the routes a bus should take to minimize the overall cost, given the bus stop locations and number of people at each stop

stereovo icon stereovo

Stereo visual odometry using Kitty Dataset

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