Lakshita Dodeja

Hi! I am Lakshita, a third year PhD student at Brown University where I am advised by Prof. Stefanie Tellex and also work with Prof. George Konidaris. Currently, I am interning at the Robotics and AI Institute working on improving IL policies for robot manipulation using RL. I am interested in developing sample-efficient reinforcement learning methods, with a focus on uncertainty quantification and human-in-the-loop learning.

Previously, I completed my Master's in Computer Science at Georgia Tech with a specialisation in Computational Perception and Robotics where I worked in the CORE Robotics Lab advised by Prof. Matthew Gombolay. During my Master’s I worked on Human-Robot Interaction specifically on distilling strategic intent of users from unstructured natural language commands and designing user centric strategy recommendation systems for Human-AI tasks.

I have also worked as Software Development Engineer at Amazon in the Prime Verification Team. I did my undergrad studies from NIT Kurukshetra, India where I worked with Prof. Mayank Dave on Digital Image Watermarking and Wireless Networks.

Email /  CV /  Linkedin /  Google Scholar /  Github /  Twitter /  Goodreads

profile photo
Publications

Accelerating Residual Reinforcement Learning with Uncertainty Estimation
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris and Stefanie Tellex.
In Out-of-Distribution Generalization in Robotics Workshop @ RSS'25
Full Paper
Towards the design of user-centric strategy recommendation systems for collaborative Human–AI tasks
Lakshita Dodeja*, Pradyumna Tambwekar*, Erin Hedlund-Botti, and Matthew Gombolay.
In International Journal of Human Computer-Studies
Full Paper
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting
Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew Gombolay.
In Empirical Methods in Natural Language Processing (EMNLP) 2023
Full Paper
Hybrid color image watermarking algorithm based on DSWT-DCT-SVD and Arnold transform
Palak Garg, Lakshita Dodeja, Priyanka, Mayank Dave.
In Advances in Signal Processing and Communication: Select Proceedings of ICSC 2018
Full Paper

Research/Work Experience
Robotics and AI Institute
Reseach Intern, Sept'25 - present
Working with Thomas Weng and Karl Schmeckpeper
Brown University
PhD in Computer Science, Aug'23 - present
Adviced by Prof Stefanie Tellex, GPA : 4/4
Graduate Researcher, Humans to Robots Lab, Aug'23 - Present
Georgia Institute of Technology
Masters in Computer Science, Aug'21 - May'23
Specialising in Computational Perception and Robotics, GPA : 4/4
Graduate Researcher, CORE Robotics Lab, Aug'21 - Aug'23
Graduate Teaching Assistant, Robot Intelligence Planning, Jan'22 - May'22
Amazon Development Center
Software Development Engineer II, June'18 - July'21
Software Development Intern, May'17- Aug'17
Worked in the Amazon Prime Verifiacation Team.
National Insitute of Technology, Kurukshetra
Bachelors in Computer Science, Aug'14 - May'18
Graduated as one of the top 10 students in the department, GPA : 9.35/10
Undergraduate Researcher with Dr Mayank Dave on Networks and Security