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.
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Goodreads
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Publications
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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
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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
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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
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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
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Research/Work Experience
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Robotics and AI Institute
Reseach Intern, Sept'25 - present
Working with Thomas Weng and Karl Schmeckpeper
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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
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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
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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.
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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
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