I am a PhD student at USC, advised by Prof. Jesse Thomason. My research interests are across NLP and robotics; primarily around why (how) language is necessary for (can be utilized in) robot learning and embodied AI. I think that problems under Embodied AI are yet more foundational, and hold deep-rooted benefits for the society.
Previously, I was an undergrad at IIT Kanpur, where I worked on topics relating to NLP and theoretical ML with Prof. Ashutosh Modi (IIT-K), Prof. Nisheeth Srivastava (IIT-K), and Prof. Pengtao Xie ( UC San Diego). I have spent some summers interning at Adobe Research, where I also received the Adobe India WIT Scholarship 2020, and NVIDIA SRL.
PhD, Computer Science, 2021 -
University of Southern California, LA, CA
B.Tech., double major in Computer Science and Chemical Engineering, 2016 - 2021
Indian Institute of Technology Kanpur, India
Nov, 2024 Co-organizing
Language and Robot Learning Workshop, CoRL 2024.
Oct, 2024 Passed qualification exam at USC and upgraded to being a PhD candidate!
Oct, 2024 Invited panelist in
2024 Beyond the Ph.D. and Postdoctoral Career Conference, USC.
Aug, 2024 Published
Language Models meet Classical Planners to make smarter Robot Task Plans in the USC RASC blog.
May, 2024
The Colosseum is accepted to RSS 2024 and is open-source now!
Feb, 2024 Interviewed for ProgPrompt for a
Scientific American article!
Jan, 2024 Released
The Colosseum: A Benchmark for Evaluating Generalization for Robotic Manipulation.
Jan, 2024 Selected as Finalist for the
Qualcomm Innovation Fellowship with
Jesse Zhang!
Aug, 2023 I will be interning again at
NVIDIA SRL in Summer'24 with
Valts and
Animesh!!
May, 2023 I received
RAS Travel Grant to attend ICRA 2023!
May, 2023 Self-supervised 3D representation learning is accepted to
Pretraining4Robotics workshop @ ICRA 2023.
Jan, 2023 ProgPrompt is accepted to
ICRA 2023 and
AuRo Journal.
Feb, 2022 Co-organizing vision-and-dialogue
TEACh TATC Challenge @
Embodied AI Workshop, CVPR'22 and CVPR'23.
Dec, 2021 I will be interning at
NVIDIA AI Robotics Research Lab, Seattle in Summer'22, advised by
Valts and
Animesh!
Dec, 2021 Work on Interactive Fiction Games accepted as extended abstract at AAMAS'22. [
arXiv].
Aug, 2021 Joined the CS PhD program at USC as a member in the
GLAMOR Lab with 1 year of USC Grad Fellowship.
Sept, 2020 Work on Affective Text Generation accepted as long paper at COLING'20. [
arXiv]
Sept, 2020 Adobe released a blog on my internship at Adobe Research, India! [
Read here]
Jun, 2020 Work on Differentially-private Federated Neural Architecture Search accepted at
FL-ICML'20. [
arXiv]
Dec, 2019 Received Adobe India WIT Scholarship 2020. [
Adobe’s Blog][
Getting-through-it Advice!]
The COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
Wilbert Pumacay*, Ishika Singh*, Jiafei Duan*, Ranjay Krishna, Jesse Thomason, Dieter Fox |
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ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg |
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Pre-trained Language Models as Prior Knowledge for Playing Text-based Games
Ishika Singh, Gargi Singh, Ashutosh Modi |
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Adapting a Language Model for Controlled Affective Text Generation
Ishika Singh*, Ahsan Barkati*, Tushar Goswamy, Ashutosh Modi |
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Differentially-private Federated Neural Architecture Search
Ishika Singh*, Haoyi Zhou*, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie |
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Machine-learning techniques for augmenting electronic documents with data-verification indicators
Navita Goyal, Vipul Shankhpal, Priyanshu Gupta, Ishika Singh, Baldip Singh Bijlani, Anandhavelu Natarajan |