Ayushi Shakya Email & Phone Number

Bangalore Urban, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Supervisor: Professor C. S. Kumar, Robotics and Intelligent Systems Lab, IIT KharagpurMotive: We build and design autonomous maritime vehicles that capable of navigating underwater and on the water surface and perform a series of tasks without any remote control assistance.- Estimating hydrodynamic coefficients for an AUV using SMO and EKF for analyzing maneuverability and observability- Designed an adaptive indoor localization module using extended Kalman Filter in ROS using IMU, DVL, and camera- Improved the underwater perception using CFAR and GMM algorithms with an ensemble of moving object trackers- Developed an integrated Mobile Nets and Single Shot Multi-box Detector architecture for efficient feature extraction

Gurgaon, India

Aim: Deliver scalable, smart autonomous & assistive systems to global customers through powered intelligent systems- Derived co-variances in all of the fail-case scenarios for advanced sensors to obtain reliable sensor information- Devised an adaptive measurement model to account for the sensor failure cases for all sorts of indoor mobile robots- Employed an extended Kalman Filter to integrate discrete information from all the sensors for accurate pose estimation

Kharagpur Area, India

Motive: Conducted 8th edition of India's largest space technology fest in India in collaboration with ISRO at Indian Institute of Technology Kharagpur while managing total participation of 1200 students from engineering colleges all across the country- Led a team of 50 junior coordinators and 15 sub-heads by supervising them to ensure effective and efficient operation- Responsible for the planning, design, publicity, and execution of technological as well as astronomical events of NSSC 2018

Iit Kharagpur

Motive: Aspen Bower, IIT Kharagpur is a start-up on building EVs that help the world to move towards sustainable transport. - Worked on feature detection in thermal images for obstacle avoidance in the high-speed automotive applications- Improved terrain perception using multilevel classification to avoid the collision of electric AGV with potential obstacles- Evaluated depth in an image using segmentation algorithms eradicating sensor requirement to analyze the 3rd dimension