Portrait of Vidhi Jain
PhD Student
Office: 5510 Gates and Hillman Centers
Advisor: Yonatan Bisk
Lab: Connecting Language to Actions & the World (CLAW) Lab
Mailing Address
Displaying 9 Publications

2024
ANAVI: Audio Noise Awareness using Visual of Indoor environments for NAVIgation
Vidhi Jain, Rishi Veerapaneni, and Yonatan Bisk
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, November, 2024
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
Vidhi Jain, Maria Attarian, Nikhil J Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, and Debidatta Dwibedi
Conference Paper, Proceedings of (RSS) Robotics Science and Systems, May, 2024
2023
HomeRobot: Open-Vocabulary Mobile Manipulation
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S Wang, Mukul Khanna, Theophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M Turner, Zsolt Kira, Manolis Savva, Angel X Chang, Devendra Singh Chaplot, Dhruv Batra, and Roozbeh Mottaghi
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, October, 2023
SLAP: Spatial-Language Attention Policies
Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, and Chris Paxton
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, August, 2023
2022
Transformers are Adaptable Task Planners
Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, and Akshara Rai
Conference Paper, Vol. 205, pp. 1011-1037, December, 2022
2021
Towards Explainable Embodied AI
Vidhi Jain
Master's Thesis, Tech. Report, CMU-RI-TR-21-31, Robotics Institute, Carnegie Mellon University, July, 2021
2020
Learning Embeddings that Capture Spatial Semantics for Indoor Navigation
Vidhi Jain, Prakhar Agarwal, Shishir Patil, and Katia Sycara
Workshop Paper, NeurIPS '20 Workshop on Object Representations for Learning and Reasoning, December, 2020
Predicting Human Strategies in Simulated Search and Rescue Task
Vidhi Jain, Rohit Jena, Huao Li, Tejus Gupta, Dana Hughes, Michael Lewis, and Katia P. Sycara
Workshop Paper, NeurIPS '20 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response (AI+HADR '20), December, 2020
Coping with sample inefficiency of deep-reinforcement learning (DRL) for embodied AI
Vidhi Jain, Simin Liu, and Ganesh Iyer
Miscellaneous, July, 2020