129 citations · 301 across the 10 of their papers we have counts for
5 papers · 1 filter
LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time
M. Palieri, B. Morrell, A Thakur +7
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-preci…
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments
Yasin Almalioglu, Angel Santamaria-Navarro, Benjamin Morrell +1
In recent years, unsupervised deep learning approaches have received significant attention to estimate the depth and visual odometry (VO) from unlabelled monocular image sequences.…
Towards Resilient Autonomous Navigation of Drones
Angel Santamaria-Navarro, Rohan Thakker, David D. Fan +2
Robots and particularly drones are especially useful in exploring extreme environments that pose hazards to humans. To ensure safe operations in these situations, usually perceptua…
The Shapeshifter: a Morphing, Multi-Agent,Multi-Modal Robotic Platform for the Exploration of Titan (preprint version)
Ali-akbar Agha-mohammadi, Andrea Tagliabue, Stephanie Schneider +8
In this report for the Nasa NIAC Phase I study, we present a mission architecture and a robotic platform, the Shapeshifter, that allow multi-domain and redundant mobility on Saturn…
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments
Kamak Ebadi, Yun Chang, Matteo Palieri +9
Simultaneous Localization and Mapping (SLAM) in large-scale, unknown, and complex subterranean environments is a challenging problem. Sensors must operate in off-nominal conditions…