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Benjamin Morrell

Researcher at California Institute of Technology

Publications -  37
Citations -  534

Benjamin Morrell is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Computer science & Odometry. The author has an hindex of 8, co-authored 29 publications receiving 195 citations. Previous affiliations of Benjamin Morrell include University of Sydney.

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Proceedings ArticleDOI

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

TL;DR: This paper presents a system architecture to enhance subterranean operation, including an accurate lidar-based front-end, and a flexible and robust back-end that automatically rejects outlying loop closures, and discusses potential improvements, limitations of the state of the art, and future research directions.
Journal ArticleDOI

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

TL;DR: This work presents a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions, and provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities.
Posted Content

Towards Resilient Autonomous Navigation of Drones.

TL;DR: HeRO (Heterogeneous Redundant Odometry): a stack of estimation algorithms running in parallel supervised by a resiliency logic that pursues robustness in state estimation by considering redundancy and heterogeneity in both sensing and estimation algorithms.
Proceedings ArticleDOI

Differential Flatness Transformations for Aggressive Quadrotor Flight

TL;DR: The method is demonstrated enabling highly-aggressive quadrotor flight in both simulations and real-world experiments, which combines multiple methods to provide a highly-robust differential flatness transformation that addresses most of these issues.
Journal ArticleDOI

LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments

TL;DR: This letter reports on a multi-robot SLAM system developed by team CoSTAR in the context of the DARPA Subterranean Challenge, and extends the previous work, LAMP, by incorporating a single-ro Bot front-end interface that is adaptable to different odometry sources and lidar configurations.