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STEP: State Estimator for Legged Robots Using a Preintegrated foot Velocity Factor

Authors :
Kim, Yeeun
Yu, Byeongho
Lee, Eungchang Mason
Kim, Joon-ha
Park, Hae-won
Myung, Hyun
Publication Year :
2022

Abstract

We propose a novel state estimator for legged robots, STEP, achieved through a novel preintegrated foot velocity factor. In the preintegrated foot velocity factor, the usual non-slip assumption is not adopted. Instead, the end effector velocity becomes observable by exploiting the body speed obtained from a stereo camera. In other words, the preintegrated end effector's pose can be estimated. Another advantage of our approach is that it eliminates the necessity for a contact detection step, unlike the typical approaches. The proposed method has also been validated in harsh-environment simulations and real-world experiments containing uneven or slippery terrains.

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2202.05572
Document Type :
Working Paper