Updates

Apr, 2025     Selected as a member of the RSS Pioneers Cohort 2025!!!
Mar, 2025    Co-organizing SemRob Workshop, RSS 2025.
Feb, 2025    I will be interning at Amazon Frontier AI and Robotics, San Francisco in Summer'25!
Jan, 2025    Co-organizing 3D VLMs for Robotics, CVPR 2025.
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]

Publications

	Adapting Large Pre-Trained Models for Generalized Robot Reasoning and Control Ishika Singh Robotics: Science and Systems Pioneers (RSS Pioneers) 2025 pdf
	OG-VLA: 3D-Aware Vision Language Action Model via Orthographic Image Generation Ishika Singh, Ankit Goyal, Stan Birchfield, Dieter Fox, Animesh Garg, Valts Blukis Pre-print 2025 arXiv / website
	The COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation Wilbert Pumacay*, Ishika Singh*, Jiafei Duan*, Ranjay Krishna, Jesse Thomason, Dieter Fox Robotics: Science and Systems (RSS) 2024 Also at Future Roadmap for Manipulation Skills @ ICRA 2024, Embodied AI @ CVPR 2024 arXiv / website / code
	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 International Conference on Robotics and Automation (ICRA) 2023 Also at LaReL @ NeurIPS 2022, LangRob @ CoRL 2022 Extended version in Autonomous Robots (AR) 2023 (Large Language Models in Robotics) arXiv / AR journal paper / website / code / video / SciAm article
	Pre-trained Language Models as Prior Knowledge for Playing Text-based Games Ishika Singh, Gargi Singh, Ashutosh Modi International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2022 (Extended Abstracts) arXiv / code / extended abstract
	Adapting a Language Model for Controlled Affective Text Generation Ishika Singh*, Ahsan Barkati*, Tushar Goswamy, Ashutosh Modi International Conference on Computational Linguistics (COLING) 2020 Also at Wordplay: When Language Meets Games @ NeurIPS 2020 arXiv / talk / code
	Differentially-private Federated Neural Architecture Search Ishika Singh*, Haoyi Zhou*, Kunlin Yang, Meng Ding, Bill Lin, Pengtao Xie International Workshop on Federated Learning for User Privacy and Data Confidentiality @ ICML 2020 arXiv / workshop version / code
	Machine-learning techniques for augmenting electronic documents with data-verification indicators Navita Goyal, Vipul Shankhpal, Priyanshu Gupta, Ishika Singh, Baldip Singh Bijlani, Anandhavelu Natarajan US Patent Application 17/108,424 | Adobe | 2022 pdf