|
Anukriti Singh
I am a Ph.D. student in Computer Science at the University of Maryland, College Park, advised by Prof. Pratap Tokekar in the RAAS Lab. My research sits at the intersection of perception and robot learning, with a focus on building manipulation and navigation systems that generalize in the real world. I'm especially interested in learning from rich supervision—video, language, demonstrations, and preference feedback—and using foundation-scale vision models to make policies and rewards more data-efficient and robust.
I previously completed my M.Eng. in Robotics at UMD and have interned at Nokia Bell Labs and PicsArt AI Research.
Please feel free to reach out!
anukriti@terpmail.umd.edu  / 
CV  / 
Github  / 
Google Scholar  / 
X  / 
LinkedIn
|
|
Research
Papers are sorted by recency. Representative works are highlighted in blue.
|
|
Afford2Act: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation
Anukriti Singh, K. Torshizi, K. Habib, K. Yu, R. Gao, P. Tokekar
In Submission
|
|
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
P. Yu*, A. Bhaskar*, Anukriti Singh, Z. Mahammad, P. Tokekar
PDF
|
|
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences
Anukriti Singh*, A. Bhaskar*, P. Yu, S. Chakraborty, R. Dasyam, A. Bedi, P. Tokekar
In Submission
|
|
Pre-Trained Masked Image Model for Mobile Robot Navigation
V. D. Sharma, Anukriti Singh, P. Tokekar
ICRA 2024
PDF
|
|
FLIP-TD: Free Lunch Inpainting on Top-Down Images for Robotic Tasks
Anukriti Singh*, V. D. Sharma*, P. Tokekar
ICRA Workshop 2023
PDF
|
|
SeMask: Semantically Masked Transformers for Semantic Segmentation
J. Jain, Anukriti Singh, N. Orlov, Z. Huang, J. Li, S. Walton, H. Shi
ICCV Workshop 2023
PDF
|
|
Characterizing Quantum Evolutions via a Recommender System
P. Batra, Anukriti Singh, T. S. Mahesh
Quantum Journal 2021
PDF
|
|