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

Yeeun Kim, Byeongho Yu, Eungchang Mason Lee, Joon-Ha Kim, Hae-Won Park, Hyun Myung

2022IEEE Robotics and Automation Letters42 citationsDOI

Abstract

Wepropose a novel state estimator for legged robots, <i>STEP</i>, 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&#x2019;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.

Topics & Concepts

EstimatorState estimatorRobotSlip (aerodynamics)TerrainComputer scienceAngular velocityRobot end effectorFactor (programming language)Artificial intelligenceControl theory (sociology)Computer visionMathematicsEngineeringPhysicsStatisticsAerospace engineeringClassical mechanicsGeographyControl (management)CartographyProgramming languageRobotic Locomotion and ControlBat Biology and Ecology StudiesGait Recognition and Analysis
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