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 Robotics and Automation Letters (RA-L), 2025
Also, in Out-of-Distribution Generalization in Robotics Workshop @ RSS'25
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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 (IJHCS), 2024
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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
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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 Springer Link : Advances in Signal Processing and Communication
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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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