Driving in dense traffic with model-free reinforcement learning DM Saxena, S Bae, A Nakhaei, K Fujimura, M Likhachev 2020 IEEE International Conference on Robotics and Automation (ICRA), 5385-5392, 2020 | 101 | 2020 |
Cooperation-aware lane change maneuver in dense traffic based on model predictive control with recurrent neural network S Bae, D Saxena, A Nakhaei, C Choi, K Fujimura, S Moura 2020 American Control Conference (ACC), 1209-1216, 2020 | 77 | 2020 |
A planning framework for persistent, multi-uav coverage with global deconfliction T Kusnur, S Mukherjee, DM Saxena, T Fukami, T Koyama, O Salzman, ... Field and Service Robotics: Results of the 12th International Conference …, 2021 | 23 | 2021 |
Learning robust failure response for autonomous vision based flight DM Saxena, V Kurtz, M Hebert 2017 IEEE international conference on robotics and automation (ICRA), 5824-5829, 2017 | 23 | 2017 |
Amra*: Anytime multi-resolution multi-heuristic a DM Saxena, T Kusnur, M Likhachev 2022 International Conference on Robotics and Automation (ICRA), 3371-3377, 2022 | 13 | 2022 |
Manipulation planning among movable obstacles using physics-based adaptive motion primitives DM Saxena, MS Saleem, M Likhachev 2021 IEEE International Conference on Robotics and Automation (ICRA), 6570-6576, 2021 | 8 | 2021 |
Search-based planning for active sensing in goal-directed coverage tasks T Kusnur, DM Saxena, M Likhachev 2021 IEEE International Conference on Robotics and Automation (ICRA), 15-21, 2021 | 6 | 2021 |
Bidirectional heuristic search for motion planning with an extend operator A Cheng, DM Saxena, M Likhachev 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 6 | 2019 |
Model-free reinforcement learning DM Saxena, S Bae, AN Sarvedani, K Fujimura US Patent 11,465,650, 2022 | 4 | 2022 |
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation DM Saxena, M Likhachev 2023 IEEE International Conference on Robotics and Automation (ICRA), 8141-8147, 2023 | 3 | 2023 |
Planning for manipulation among movable objects: Deciding which objects go where, in what order, and how D Saxena, M Likhachev Proceedings of the International Conference on Automated Planning and …, 2023 | 2 | 2023 |
System and method for providing cooperation-aware lane change control in dense traffic AN Sarvedani, K Fujimura, C Choi, S Bae, DM Saxena US Patent 11,608,083, 2023 | 1 | 2023 |
Imagine All Objects Are Robots: A Multi-Agent Pathfinding Perspective on Manipulation Among Movable Objects DM Saxena, M Likhachev AAAI Workshop on Multi-Agent Path Finding, 2023 | 1 | 2023 |
An experiment to evaluate robotic grasping of occluded objects A Hurwitz, M Childers, A Dornbush, DM Saxena, M Likhachev, C Lennon Unmanned Systems Technology XX 10640, 64-75, 2018 | 1 | 2018 |
Deep Flight: Learning Reactive Policies for Quadrotor Navigation with Deep Reinforcement Learning R Madaan, R Bonatti, DM Saxena, S Scherer | 1* | |
Manipulation Among Movable Objects for Pick-and-Place Tasks in 3D Workspaces D Saxena, M Likhachev IROS 2023 Workshop on Leveraging Models for Contact-Rich Manipulation, 2023 | | 2023 |
Manipulation Among Movable Objects for Pick-and-Place Tasks in Cluttered 3D Workspaces D Saxena Carnegie Mellon University, 2023 | | 2023 |
Supervised Learning of Corrective Maneuvers for Vision-Based Autonomous Flight DM Saxena Carnegie Mellon University, 2017 | | 2017 |
Learning Contextual Actions for Heuristic Search-Based Motion Planning DM Saxena, M Likhachev | | |