← Search

Benjamin Morrell

14 accepted papers

2022

Early Recall, Late Precision: Multi-Robot Semantic Object Mapping under Operational Constraints in Perceptually-Degraded Environments

IROS 2022poster

Semantic object mapping in uncertain, perceptually degraded environments during long-range multi-robot autonomous exploration tasks such as search-and-rescue is important and challenging. During such missions, high recall is desirable to avoid missing true target objects and high precision is also c…

Cited by 5SourceScholar
2022

Exploring Event Camera-Based Odometry for Planetary Robots

RA-L 2022

Due to their resilience to motion blur and high robustness in low-light and high dynamic range conditions, event cameras are poised to become enabling sensors for vision-based exploration on future Mars helicopter missions. However, existing event-based visual-inertial odometry (VIO) algorithms eith

Cited by 67SourceScholar
2022

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

RA-L 2022

Search and rescue with a team of heterogeneous mobile robots in unknown and large-scale underground environments requires high-precision localization and mapping. This crucial requirement is faced with many challenges in complex and perceptually-degraded subterranean environments, as the onboard per

Cited by 154SourceScholar
2022

LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping

RA-L 2022

Lidar odometry has attracted considerable attention as a robust localization method for autonomous robots operating in complex GNSS-denied environments. However, achieving reliable and efficient performance on heterogeneous platforms in large-scale environments remains an open challenge due to the l

Cited by 86SourceScholar
2022

Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM

RA-L 2022

Multi-robot SLAM systems in GPS-denied environments require loop closures to maintain a drift-free centralized map. With an increasing number of robots and size of the environment, checking and computing the transformation for all the loop closure candidates becomes computationally infeasible. In th

Cited by 31SourcecodeScholar
2021

3D Shape Reconstruction of Small Bodies From Sparse Features

RA-L 2021

The autonomous approach of spacecraft to a small body (comet or asteroid) relies on using all available information at each phase of the approach. This letter presents new algorithms for global shape reconstructions from sparse tracked surface points. These methods leverage estimates from earlier ph

Cited by 3SourceScholar
2021

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

RA-L 2021

Authors Benjamin Morrell, Kamak Ebadi, Jeremy Nash and Aliakbar Agha-mohammadi in the above-named work [ibid., IEEE Robot. Automat. Lett., vol. 6, no. 2, pp. 421–428, Apr. 2020] were incorrectly affiliated with the Polytechnic University of Bari. The correct authors affiliations are reported in the

Cited by 2SourceScholar
2021

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

RA-L 2021

A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lid

Cited by 134SourceScholar
2021

Range-Aided Pose-Graph-Based SLAM: Applications of Deployable Ranging Beacons for Unknown Environment Exploration

RA-L 2021

Simultaneous Localization and Mapping (SLAM) is a critical part of robotic exploration in unknown environments. SLAM over large scales typically presents challenges with limiting drift and requires loop closures to correct accumulated errors. However, real-time loop closure detection can be limited

Cited by 45SourceScholar
2021

Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments

IROS 2021poster

In recent years, unsupervised deep learning approaches have received significant attention to estimating the depth and visual odometry (VO) from unlabelled monocular image sequences. However, their performance is limited in challenging environments due to perceptual degradation, occlusions, and rapi…

Cited by 10SourceScholar
2020

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

ICRA 2020poster

Simultaneous Localization and Mapping (SLAM) in large-scale, unknown, and complex subterranean environments is a challenging problem. Sensors must operate in off-nominal conditions; uneven and slippery terrains make wheel odometry inaccurate, while long corridors without salient features make extero…

Cited by 210SourceScholar
2019

An Autonomous Quadrotor System for Robust High-Speed Flight Through Cluttered Environments Without GPS

IROS 2019poster

Robust autonomous flight without GPS is key to many emerging drone applications, such as delivery, search and rescue, and warehouse inspection. These and other applications require accurate trajectory tracking through cluttered static environments, where GPS can be unreliable, while high-speed, agil…

Cited by 8SourceScholar
2018

Comparison of Trajectory Optimization Algorithms for High-Speed Quadrotor Flight Near Obstacles

RA-L 2018

For autonomous quadrotors to be used for applications such as delivery, disaster response, and inspection, there is a need to fly near obstacles, especially in urban and indoor environments. Often, it is also beneficial to fly at high speeds to complete tasks quickly. A key challenge in enabling the

Cited by 19SourceScholar
2018

Differential Flatness Transformations for Aggressive Quadrotor Flight

ICRA 2018poster

Aggressive maneuvering amongst obstacles could enable advanced capabilities for quadrotors in applications such as search and rescue, surveillance, inspection, and situations where rapid flight is required in cluttered environments. Previous works have treated quadrotors as differentially flat syste…

Cited by 43SourceScholar