Vision based collaborative localization for multirotor vehicles. - Sai Vemprala; Srikanth Saripalli (IROS, 2016)

Vision Based Collaborative Path Planning for Micro Aerial Vehicles. - Sai Vemprala; Srikanth Saripalli (ICRA, 2018)

Drone Detection Using Depth Maps. - Adrian Carrio; Sai Vemprala; Andres Ripoll; Srikanth Saripalli; Pascual Campoy (IROS, 2018)

Real-Time Tumor Tracking for Pencil Beam Scanning Proton Therapy. - Sai Vemprala; Srikanth Saripalli; Carlos E. Vargas; Martin Bues; Yanle Hu; Jiajian Shen (IROS, 2018)

Monocular Vision based Collaborative Localization for Micro Aerial Vehicle Swarms. - Sai Vemprala; Srikanth Saripalli (CoRR, 2018)

AirSim Drone Racing Lab. - Ratnesh Madaan; Nicholas Gyde; Sai Vemprala; Matthew Brown; Keiko Nagami; Tim Taubner; Eric Cristofalo; Davide Scaramuzza 001; Mac Schwager; Ashish Kapoor (NeurIPS (Competition and Demos), 2019)

Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty. - Tom Hirshberg; Sai Vemprala; Ashish Kapoor (IROS, 2020)

Onboard Detection and Localization of Drones Using Depth Maps. - Adrian Carrio; Jesus Tordesillas; Sai Vemprala; Srikanth Saripalli; Pascual Campoy; Jonathan P. How (IEEE Access, 2020)

Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates. - Tom Hirshberg; Sai Vemprala; Ashish Kapoor (CoRR, 2020)

Adversarial Attacks on Optimization based Planners. - Sai Vemprala; Ashish Kapoor (ICRA, 2021)

Unadversarial Examples: Designing Objects for Robust Vision. - Hadi Salman; Andrew Ilyas; Logan Engstrom; Sai Vemprala; Aleksander Madry; Ashish Kapoor (NeurIPS, 2021)

Representation Learning for Event-based Visuomotor Policies. - Sai Vemprala; Sami Mian; Ashish Kapoor (NeurIPS, 2021)

Collaborative Localization for Micro Aerial Vehicles. - Sai Vemprala; Srikanth Saripalli (IEEE Access, 2021)

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. - Daniel McDuff; Yale Song; Jiyoung Lee; Vibhav Vineet; Sai Vemprala; Nicholas Gyde; Hadi Salman; Shuang Ma; Kwanghoon Sohn; Ashish Kapoor (CLeaR, 2022)

Missingness Bias in Model Debugging. - Saachi Jain; Hadi Salman; Eric Wong 001; Pengchuan Zhang; Vibhav Vineet; Sai Vemprala; Aleksander Madry (ICLR, 2022)

Learning to Simulate Realistic LiDARs. - Benoît Guillard; Sai Vemprala; Jayesh K. Gupta; Ondrej Miksik; Vibhav Vineet; Pascal Fua; Ashish Kapoor (IROS, 2022)

COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. - Shuang Ma; Sai Vemprala; Wenshan Wang; Jayesh K. Gupta; Yale Song; Daniel McDuff; Ashish Kapoor (IROS, 2022)

Learning Modular Simulations for Homogeneous Systems. - Jayesh K. Gupta; Sai Vemprala; Ashish Kapoor (NeurIPS, 2022)

3DB: A Framework for Debugging Computer Vision Models. - 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 (NeurIPS, 2022)

Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022. - Jiachen Lei; Shuang Ma; Zhongjie Ba; Sai Vemprala; Ashish Kapoor; Kui Ren 001 (CoRR, 2022)

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. - Yao Wei 002; Yanchao Sun; Ruijie Zheng; Sai Vemprala; Rogerio Bonatti; Shuhang Chen; Ratnesh Madaan; Zhongjie Ba; Ashish Kapoor; Shuang Ma (ICCV, 2023)

LATTE: LAnguage Trajectory TransformEr. - Arthur Bucker; Luis F. C. Figueredo; Sami Haddadin; Ashish Kapoor; Shuang Ma; Sai Vemprala; Rogerio Bonatti (ICRA, 2023)

PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. - Rogerio Bonatti; Sai Vemprala; Shuang Ma; Felipe Frujeri; Shuhang Chen; Ashish Kapoor (IROS, 2023)

ConBaT: Control Barrier Transformer for Safe Policy Learning. - Yue Meng; Sai Vemprala; Rogerio Bonatti; Chuchu Fan; Ashish Kapoor (CoRR, 2023)

GRID: A Platform for General Robot Intelligence Development. - Sai Vemprala; Shuhang Chen; Abhinav Shukla; Dinesh Narayanan; Ashish Kapoor (CoRR, 2023)

ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. - Yue Meng; Sai Vemprala; Rogerio Bonatti; Chuchu Fan; Ashish Kapoor (ICRA, 2024)

EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. - Anish Bhattacharya; Ratnesh Madaan; Fernando Cladera Ojeda; Sai Vemprala; Rogerio Bonatti; Kostas Daniilidis; Ashish Kapoor; Vijay Kumar 001; Nikolai Matni; Jayesh K. Gupta (WACV, 2024)

ChatGPT for Robotics: Design Principles and Model Abilities. - Sai Vemprala; Rogerio Bonatti; Arthur Bucker; Ashish Kapoor (IEEE Access, 2024)

Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning. - Parv Kapoor; Sai Vemprala; Ashish Kapoor (CoRR, 2024)

MatMamba: A Matryoshka State Space Model. - Abhinav Shukla; Sai Vemprala; Aditya Kusupati; Ashish Kapoor (CoRR, 2024)