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20182022
most citedUnified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry

147 citations · 235 across the 13 of their papers we have counts for

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15 papers · 1 filter

cs.RO20222 cited

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Marco Tranzatto, Frank Mascarich, Lukas Bernreiter +38

Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy h…

cs.RO20215 cited

Learning Inertial Odometry for Dynamic Legged Robot State Estimation

Russell Buchanan, Marco Camurri, Frank Dellaert +1

This paper introduces a novel proprioceptive state estimator for legged robots based on a learned displacement measurement from IMU data. Recent research in pedestrian tracking has…

cs.RO2021

AEROS: Adaptive RObust least-Squares for Graph-Based SLAM

Milad Ramezani, Matias Mattamala, Maurice Fallon

In robot localisation and mapping, outliers are unavoidable when loop-closure measurements are taken into account. A single false-positive loop-closure can have a very negative imp…

cs.RO202122 cited

Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification

Russell Buchanan, Jakub Bednarek, Marco Camurri +3

Legged robot navigation in extreme environments can hinder the use of cameras and laser scanners due to darkness, air obfuscation or sensor damage. In these conditions, propriocept…

cs.RO20211 cited

Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis

Yiduo Wang, Milad Ramezani, Matias Mattamala +1

This paper presents novel strategies for spawning and fusing submaps within an elastic dense 3D reconstruction system. The proposed system uses spatial understanding of the scanned…

cs.RO2021

Receding-Horizon Perceptive Trajectory Optimization for Dynamic Legged Locomotion with Learned Initialization

Oliwier Melon, Romeo Orsolino, David Surovik +3

To dynamically traverse challenging terrain, legged robots need to continually perceive and reason about upcoming features, adjust the locations and timings of future footfalls and…