activity
20172019
most citedContact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation

57 citations · 160 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2019★ 35 cited

LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Jiunn-Kai Huang, Shoutian Wang, Maani Ghaffari +1

Image-based fiducial markers are useful in problems such as object tracking in cluttered or textureless environments, camera (and multi-sensor) calibration tasks, and vision-based…

cs.RO2019

Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation

Ross Hartley, Maani Ghaffari, Ryan M. Eustice +1

Legged robots require knowledge of pose and velocity in order to maintain stability and execute walking paths. Current solutions either rely on vision data, which is susceptible to…

cs.RO2018★ 12 cited

Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway

Yukai Gong, Ross Hartley, Xingye Da +4

The Cassie bipedal robot designed by Agility Robotics is providing academics a common platform for sharing and comparing algorithms for locomotion, perception, and navigation. This…

cs.RO2018

Rapid Trajectory Optimization Using C-FROST with Illustration on a Cassie-Series Dynamic Walking Biped

Ayonga Hereid, Omar Harib, Ross Hartley +2

One of the big attractions of low-dimensional models for gait design has been the ability to compute solutions rapidly, whereas one of their drawbacks has been the difficulty in ma…

cs.RO2018★ 57 cited

Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation

Ross Hartley, Maani Ghaffari Jadidi, Jessy W. Grizzle +1

This paper derives a contact-aided inertial navigation observer for a 3D bipedal robot using the theory of invariant observer design. Aided inertial navigation is fundamentally a n…

cs.RO2018★ 56 cited

Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs

Ross Hartley, Maani Ghaffari Jadidi, Lu Gan +3

The factor graph framework is a convenient modeling technique for robotic state estimation where states are represented as nodes, and measurements are modeled as factors. When desi…

cs.RO2017

Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors

Ross Hartley, Josh Mangelson, Lu Gan +4

State-of-the-art robotic perception systems have achieved sufficiently good performance using Inertial Measurement Units (IMUs), cameras, and nonlinear optimization techniques, tha…