Wire detection using synthetic data and dilated convolutional networks for unmanned aerial vehicles. - Ratnesh Madaan; Daniel Maturana; Sebastian A. Scherer (IROS, 2017)

DROAN - Disparity-Space Representation for Obstacle Avoidance: Enabling Wire Mapping & Avoidance. - Geetesh Dubey; Ratnesh Madaan; Sebastian A. Scherer (IROS, 2018)

Multi-view Reconstruction of Wires using a Catenary Model. - Ratnesh Madaan; Michael Kaess; Sebastian A. Scherer (ICRA, 2019)

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)

Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. - Rogerio Bonatti; Ratnesh Madaan; Vibhav Vineet; Sebastian A. Scherer; Ashish Kapoor (CoRR, 2019)

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. - Rogerio Bonatti; Ratnesh Madaan; Vibhav Vineet; Sebastian A. Scherer; Ashish Kapoor (IROS, 2020)

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)

SMART: Self-supervised Multi-task pretrAining with contRol Transformers. - Yanchao Sun; Shuang Ma; Ratnesh Madaan; Rogerio Bonatti; Furong Huang; Ashish Kapoor (ICLR, 2023)

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)