24 citations · 65 across the 10 of their papers we have counts for
10 papers
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments
Ali Agha, Kyohei Otsu, Benjamin Morrell +86
This paper presents an appendix to the original NeBula autonomy solution developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), participating in the DARPA Sub…
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments
Amanda Bouman, Joshua Ott, Sung-Kyun Kim +5
We present a method for solving the coverage problem with the objective of autonomously exploring an unknown environment under mission time constraints. Here, the robot is tasked w…
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty
Joshua Ott, Sung-Kyun Kim, Amanda Bouman +6
Robotic exploration of unknown environments is fundamentally a problem of decision making under uncertainty where the robot must account for uncertainty in sensor measurements, loc…
ACHORD: Communication-Aware Multi-Robot Coordination with Intermittent Connectivity
Maira Saboia, Lillian Clark, Vivek Thangavelu +16
Communication is an important capability for multi-robot exploration because (1) inter-robot communication (comms) improves coverage efficiency and (2) robot-to-base comms improves…
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget
Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim +8
We present a method for autonomous exploration of large-scale unknown environments under mission time constraints. We start by proposing the Frontloaded Information Gain Orienteeri…
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…
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments
Sung-Kyun Kim, Amanda Bouman, Gautam Salhotra +4
In order for an autonomous robot to efficiently explore an unknown environment, it must account for uncertainty in sensor measurements, hazard assessment, localization, and motion…
Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion
Amanda Bouman, Muhammad Fadhil Ginting, Nikhilesh Alatur +8
This paper serves as one of the first efforts to enable large-scale and long-duration autonomy using the Boston Dynamics Spot robot. Motivated by exploring extreme environments, pa…
Design of a Ballistically-Launched Foldable Multirotor
Daniel Pastor, Jacob Izraelevitz, Paul Nadan +3
The operation of multirotors in crowded environments requires a highly reliable takeoff method, as failures during takeoff can damage more valuable assets nearby. The addition of a…
Design and Autonomous Stabilization of a Ballistically Launched Multirotor
Amanda Bouman, Paul Nadan, Matthew Anderson +4
Aircraft that can launch ballistically and convert to autonomous, free flying drones have applications in many areas such as emergency response, defense, and space exploration, whe…