Kushagra Srivastava

Robotics Graduate Student

Worcester Polytechnic Institute


I'm a graduate student at Worcester Polytechnic Institute, majoring in Robotics Engineering. I'm working at the intersection of robotics and deep learning to develop solutions that have societal impact.

My venture in robotics began at Dr. Shital Chiddarwar's IvLabs where I worked on SLAM and Computer Vision and briefly in the fields of Controls and Machine Learning. I spent the summer of 2021, working in the field of Active Perception under the guidance of Dr. Marco Cognetti remotely. In the winter of 2021, I remotely worked on the application of Reinforcement Learning on flexible robots under the guidance of Dr. Ramsharan Rangarajan.

Post undergrad, I worked at the Robotics Research Center, IIIT Hyderabad. My work at RRC revolved around the fields of Deep Learning, Computer Vision and Reinforcement Learning. I significantly worked on UAV-based Assessment of Civil Structures (Advised by Dr. Ravi Kiran and Dr. Harikumar), Obstacle Avoidance for UAVs, and Scene Understanding (Advised by Prof. Madhava Krishna)


  • Robotics
  • Computer Vision
  • Deep Learning


  • MS in Robotics Engineering, 2023-Present

    Worcester Polytechnic Institute

  • B.Tech in Electronics and Communication Engineering, 2018-2022

    Visvesvaraya National Institute of Technology

    CPGA: 8.56/10.0



UAV-based Assessment of Civil Structures

Automated building inspection using the aerial images captured using UAV.

Obstacle Avoidance for UAV

Predicting an obstacle-free patch for high level control commands

Sahayak: Autonomous Covid Aid Bot

Development of an autonomous robot to reduce the risk of the health care workers.

Localization with Partial Reliance on GPS

Stabilizing UAV navigation between gps-denied and gns-enabled environments.

Classical Computer Vision and Mutliview Geometry

Visual Odometry and SfM pipelines.

Implementation of RL Algorithms

Implemented basic RL and Deep RL algorithms.

Auto Surveillance Mobile Robot

Developed a robot which will alert the user of a intruder if the latter is detected.

State Estimation Filters and Motion Planning

Kalman Filter variants and modules of Hierarchical Motion Planner.

Swadeshi Microprocessor Challenge

Locking system to prevent cargo thefts.

Research Experience


Research Assistant

International Institute of Information Technology

June 2022 - Aug 2023 Hyderabad, India

  • UAV-based Assessment of Civil Structures (advised by Dr. Ravi Kiran and Dr. Harikumar)

    • Automated assessment of civil structures with the help of visual remote sensing.
    • Estimated structural parameters of buildings that are critical for pre- and/or post-earthquake risk assessment.
    • Devised an incremental unsupervised domain adaptation approach for improving crack segmentation.

  • Obstacle Avoidance (advised by Prof. K. Madhava Krishna)

    • Devising a high level control strategy for obstacle avoidance through Imitation Learning in conjunction with Reinforcement Learning.

  • Scene Understanding (advised by Prof. K. Madhava Krishna)

    • Formulated a novel training strategy that achieved significantly better generalization across dataset domains for any vision task compared to DA and supervised approaches.

Research Intern

Indian Institute of Science

Dec 2021 – Feb 2022 Worked Remotely
Advised by Dr. Ramsharan Rangarajan
  • Generated Deep Reinforcement Learning strategies for control of flexible robots.
  • Implemented classical reinforcement learning algorithms and policy gradient-based methods to solve OpenAI Gym environments.

Research Intern

Maynooth University

Jun 2021 – Nov 2021 Worked Remotely
Advised by Dr. Marco Cognetti
  • Generated an online perception-aware trajectory that maximizes the information collected through measurements along a planned path.
  • Modelled and tested differential flatness of a 2D quadrotor with a rigid arm.

Extracurricular Experience

Core Member
June 2019 - May 2022 VNIT, Nagpur, India

  • Conducted research in the fields of SLAM, Computer Vision, and Reinforcement Learning.
  • Managed more than 80 members as a core member and developed the official website.
  • Mentored projects on Autonomous Navigation, Mutliview Geometry and Object-Centric Learning.
Student Mentor
Visvesvaraya National Institute of Technology
June 2020 - May 2022 Nagpur, India

  • Among 5% students that were appointed by the Electronics and Communication Department to guide 10-15 freshmen at VNIT, Nagpur.
June 2019 - May 2021 VNIT, Nagpur, India

  • Cumulatively taught more than 500 students in various IEEE workshops based on Electronics, Image Processing and Microcontrollers.