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Sai Vemprala
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2020 – today
- 2024
- [j3]Sai Vemprala
, Rogerio Bonatti
ChatGPT for Robotics: Design Principles and Model Abilities. IEEE Access 12: 55682-55696 (2024) - [c20]Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor:
ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. ICRA 2024: 12857-12864 - [c19]Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta:
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. WACV 2024: 5834-5843 - [i23]Parv Kapoor, Sai Vemprala, Ashish Kapoor:
Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning. CoRR abs/2408.05336 (2024) - 2023
- [c18]Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma:
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV 2023: 16175-16185 - [c17]Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti:
LATTE: LAnguage Trajectory TransformEr. ICRA 2023: 7287-7294 - [c16]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. IROS 2023: 3621-3627 - [i22]Yue Meng, Sai Vemprala, Rogerio Bonatti, Chuchu Fan, Ashish Kapoor:
ConBaT: Control Barrier Transformer for Safe Policy Learning. CoRR abs/2303.04212 (2023) - [i21]Sai Vemprala, Rogerio Bonatti, Arthur Bucker, Ashish Kapoor:
ChatGPT for Robotics: Design Principles and Model Abilities. CoRR abs/2306.17582 (2023) - [i20]Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma:
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR abs/2307.07909 (2023) - [i19]Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor:
GRID: A Platform for General Robot Intelligence Development. CoRR abs/2310.00887 (2023) - [i18]Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta:
EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. CoRR abs/2310.02437 (2023) - 2022
- [c15]Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor:
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR 2022: 559-575 - [c14]Saachi Jain, Hadi Salman, Eric Wong
Missingness Bias in Model Debugging. ICLR 2022 - [c13]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS 2022: 1000-1007 - [c12]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. IROS 2022: 8173-8180 - [c11]Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor:
Learning Modular Simulations for Homogeneous Systems. NeurIPS 2022 - [c10]Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry:
3DB: A Framework for Debugging Computer Vision Models. NeurIPS 2022 - [i17]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR abs/2203.15788 (2022) - [i16]Saachi Jain, Hadi Salman, Eric Wong
Missingness Bias in Model Debugging. CoRR abs/2204.08945 (2022) - [i15]Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti:
LaTTe: Language Trajectory TransformEr. CoRR abs/2208.02918 (2022) - [i14]Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor:
Learning to Simulate Realistic LiDARs. CoRR abs/2209.10986 (2022) - [i13]Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Frujeri, Shuhang Chen, Ashish Kapoor:
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. CoRR abs/2209.11133 (2022) - [i12]Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor:
Learning Modular Simulations for Homogeneous Systems. CoRR abs/2210.16294 (2022) - [i11]Jiachen Lei, Shuang Ma, Zhongjie Ba, Sai Vemprala, Ashish Kapoor, Kui Ren:
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. CoRR abs/2211.15286 (2022) - 2021
- [j2]Sai Vemprala
Collaborative Localization for Micro Aerial Vehicles. IEEE Access 9: 63043-63058 (2021) - [c9]Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. ICRA 2021: 9943-9949 - [c8]Sai Vemprala, Sami Mian, Ashish Kapoor:
Representation Learning for Event-based Visuomotor Policies. NeurIPS 2021: 4712-4724 - [c7]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. NeurIPS 2021: 15270-15284 - [i10]Sai Vemprala, Sami Mian, Ashish Kapoor:
Representation Learning for Event-based Visuomotor Policies. CoRR abs/2103.00806 (2021) - [i9]Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry:
3DB: A Framework for Debugging Computer Vision Models. CoRR abs/2106.03805 (2021) - [i8]Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor:
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR abs/2106.13364 (2021) - 2020
- [j1]Adrian Carrio
Onboard Detection and Localization of Drones Using Depth Maps. IEEE Access 8: 30480-30490 (2020) - [c6]Tom Hirshberg, Sai Vemprala, Ashish Kapoor:
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. IROS 2020: 6245-6251 - [i7]Tom Hirshberg, Sai Vemprala, Ashish Kapoor:
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. CoRR abs/2001.08198 (2020) - [i6]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. CoRR abs/2003.05654 (2020) - [i5]Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. CoRR abs/2011.00095 (2020) - [i4]Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. CoRR abs/2012.12235 (2020)
2010 – 2019
- 2019
- [c5]Ratnesh Madaan, Nicholas Gyde, Sai Vemprala, Matthew Brown, Keiko Nagami, Tim Taubner, Eric Cristofalo, Davide Scaramuzza, Mac Schwager, Ashish Kapoor:
AirSim Drone Racing Lab. NeurIPS (Competition and Demos) 2019: 177-191 - [i3]Sai Vemprala, Srikanth Saripalli:
Collaborative Localization for Micro Aerial Vehicles. CoRR abs/1905.02648 (2019) - 2018
- [c4]Sai Vemprala, Srikanth Saripalli:
Vision Based Collaborative Path Planning for Micro Aerial Vehicles. ICRA 2018: 1-7 - [c3]Adrian Carrio, Sai Vemprala, Andres Ripoll, Srikanth Saripalli, Pascual Campoy
Drone Detection Using Depth Maps. IROS 2018: 1034-1037 - [c2]Sai Vemprala, Srikanth Saripalli, Carlos E. Vargas, Martin Bues, Yanle Hu, Jiajian Shen
Real-Time Tumor Tracking for Pencil Beam Scanning Proton Therapy. IROS 2018: 4434-4440 - [i2]Sai Vemprala, Srikanth Saripalli:
Monocular Vision based Collaborative Localization for Micro Aerial Vehicle Swarms. CoRR abs/1804.02510 (2018) - [i1]Adrian Carrio, Sai Vemprala, Andres Ripoll, Srikanth Saripalli, Pascual Campoy:
Drone Detection Using Depth Maps. CoRR abs/1808.00259 (2018) - 2016
- [c1]Sai Vemprala, Srikanth Saripalli:
Vision based collaborative localization for multirotor vehicles. IROS 2016: 1653-1658
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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