Bio

I'm a Ph.D. Candidate at Purdue University, advised by Prof. Aniket Bera and affiliated with the Intelligent Design for Empathetic and Augmented Systems (IDEAS) Lab where I work on novel techniques for scene understanding and representation to build interpretable models for robotics. I'm also working towards better human-robot collaboration.

Before Purdue, I recieved dual degrees in Computer Science and Mathematics from the University of Massachusetts at Amherst. Over my academic career, I've also had the privilege of working with Lillian Ratliff, Katia Sycara, Ahmed Qureshi, Erik Learned-Miller, and Yevgeniy Vorobeychik.

News/Updates

November 2024
I will be giving a talk on (11/8) interpretable robotics at the University of Washington for their UW Robotics colloquium
June 2024
I will be attending CVPR 2024 in Seattle! Come say hi :)
May 2024
I will be working as an Applied Science intern at Amazon Robotics for the summer!
November 2023
I will be presenting our work, SCL, at CoRL 2023! Come say hi :)
August 2022
I have started my Ph.D. in Robotics/ML at Purdue University
May 2022
I graduated Summa Cum Laude with degrees in Math and CS from the University of Massachusetts at Amherst

Selected Publications

Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning
Conference on Robot Learning (CoRL) 2023
Manav Kulshrestha, Ahmed H. Qureshi
PROVES: Establishing Image Provenance Using Semantic Signatures
Winter Conference on Applications of Computer Vision (WACV) 2022
Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
Modelling Human Trust in Commanding of Robot Wingmen
Robotics Institute Summer Scholars (RISS) Working Papers Journal 2021
Manav Kulshrestha, Huao Li, Konstantinos Mitsopoulos, Dana Hughes, Katia Sycara