1 citations · 1 across the 3 of their papers we have counts for
7 papers
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments
Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai +4
State estimation for robots navigating in GPS-denied and perceptually-degraded environments, such as underground tunnels, mines and planetary subsurface voids, remains challenging…
Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions
Rohan Thakker, Nikhilesh Alatur, David D. Fan +5
We propose a framework for resilient autonomous navigation in perceptually challenging unknown environments with mobility-stressing elements such as uneven surfaces with rocks and…
MADER: Trajectory Planner in Multi-Agent and Dynamic Environments
Jesus Tordesillas, Jonathan P. How
This paper presents MADER, a 3D decentralized and asynchronous trajectory planner for UAVs that generates collision-free trajectories in environments with static obstacles, dynamic…
Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies
Jesus Tordesillas, Juncal Arbelaiz
Reinforcement learning algorithms are gaining popularity in fields in which optimal scheduling is important, and oncology is not an exception. The complex and uncertain dynamics of…
FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments
Jesus Tordesillas, Brett T. Lopez, Jonathan P. How
High-speed trajectory planning through unknown environments requires algorithmic techniques that enable fast reaction times while maintaining safety as new information about the op…