48 citations · 185 across the 16 of their papers we have counts for
16 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…
Capability-aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments
Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer +1
To achieve autonomy in complex real-world exploration missions, we consider deployment strategies for a team of robots with heterogeneous autonomy capabilities. In this work, we fo…
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge
Anushri Dixit, David D. Fan, Kyohei Otsu +3
Although autonomy has gained widespread usage in structured and controlled environments, robotic autonomy in unknown and off-road terrain remains a difficult problem. Extreme, off-…
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain
Robin Schmid, Deegan Atha, Frederik Schöller +8
Navigating off-road with a fast autonomous vehicle depends on a robust perception system that differentiates traversable from non-traversable terrain. Typically, this depends on a…
PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains
Sharmita Dey, David Fan, Robin Schmid +5
Legged robots can traverse a wide variety of terrains, some of which may be challenging for wheeled robots, such as stairs or highly uneven surfaces. However, quadruped robots face…
Early Recall, Late Precision: Multi-Robot Semantic Object Mapping under Operational Constraints in Perceptually-Degraded Environments
Xianmei Lei, Taeyeon Kim, Nicolas Marchal +8
Semantic object mapping in uncertain, perceptually degraded environments during long-range multi-robot autonomous exploration tasks such as search-and-rescue is important and chall…
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…
Copiloting Autonomous Multi-Robot Missions: A Game-inspired Supervisory Control Interface
Marcel Kaufmann, Robert Trybula, Ryan Stonebraker +6
Real-world deployment of new technology and capabilities can be daunting. The recent DARPA Subterranean (SubT) Challenge, for instance, aimed at the advancement of robotic platform…
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…
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation
David D. Fan, Kyohei Otsu, Yuki Kubo +3
Although ground robotic autonomy has gained widespread usage in structured and controlled environments, autonomy in unknown and off-road terrain remains a difficult problem. Extrem…
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 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…
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…
Where to Map? Iterative Rover-Copter Path Planning for Mars Exploration
Takahiro Sasaki, Kyohei Otsu, Rohan Thakker +2
In addition to conventional ground rovers, the Mars 2020 mission will send a helicopter to Mars. The copter's high-resolution data helps the rover to identify small hazards such as…
Perception-aware Autonomous Mast Motion Planning for Planetary Exploration Rovers
Jared Strader, Kyohei Otsu, Ali-akbar Agha-mohammadi
Highly accurate real-time localization is of fundamental importance for the safety and efficiency of planetary rovers exploring the surface of Mars. Mars rover operations rely on v…
Fast Approximate Clearance Evaluation for Rovers with Articulated Suspension Systems
Kyohei Otsu, Guillaume Matheron, Sourish Ghosh +2
We present a light-weight body-terrain clearance evaluation algorithm for the automated path planning of NASA's Mars 2020 rover. Extraterrestrial path planning is challenging due t…