activity
20192022
most citedNavigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification

22 citations · 35 across the 4 of their papers we have counts for

collaborators

5 papers

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.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.RO20216 cited

iMHS: An Incremental Multi-Hypothesis Smoother

Fan Jiang, Varun Agrawal, Russell Buchanan +2

State estimation of multi-modal hybrid systems is an important problem with many applications in the field robotics. However, incorporating discrete modes in the estimation process…

cs.RO2019

Walking Posture Adaptation for Legged Robot Navigation in Confined Spaces

Russell Buchanan, Tirthankar Bandyopadhyay, Marko Bjelonic +3

Legged robots have the ability to adapt their walking posture to navigate confined spaces due to their high degrees of freedom. However, this has not been exploited in most common…