most citedLearning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU

50 citations · 51 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO20201 cited

Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot

Yiduo Wang, Milad Ramezani, Maurice Fallon

In this paper, we develop an online active mapping system to enable a quadruped robot to autonomously survey large physical structures. We describe the perception, planning and con…

cs.RO2020

Reliable Trajectories for Dynamic Quadrupeds using Analytical Costs and Learned Initializations

Oliwier Melon, Mathieu Geisert, David Surovik +2

Dynamic traversal of uneven terrain is a major objective in the field of legged robotics. The most recent model predictive control approaches for these systems can generate robust…

cs.RO2020

Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure

Milad Ramezani, Georgi Tinchev, Egor Iuganov +1

In this paper, we present a factor-graph LiDAR-SLAM system which incorporates a state-of-the-art deeply learned feature-based loop closure detector to enable a legged robot to loca…

cs.RO2019

Preintegrated Velocity Bias Estimation to Overcome Contact Nonlinearities in Legged Robot Odometry

David Wisth, Marco Camurri, Maurice Fallon

In this paper, we present a novel factor graph formulation to estimate the pose and velocity of a quadruped robot on slippery and deformable terrain. The factor graph introduces a…

cs.RO2019

Robust Legged Robot State Estimation Using Factor Graph Optimization

David Wisth, Marco Camurri, Maurice Fallon

Legged robots, specifically quadrupeds, are becoming increasingly attractive for industrial applications such as inspection. However, to leave the laboratory and to become useful t…

cs.RO201950 cited

Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU

Georgi Tinchev, Adrian Penate-Sanchez, Maurice Fallon

Localization in challenging, natural environments such as forests or woodlands is an important capability for many applications from guiding a robot navigating along a forest trail…