It is known that invariance and equivariance properties for systems on Lie groups can be exploited in the design of high performance and robust observers and filters for real-world robotic systems. This paper proposes an analysis framework that allows any kinematic system on a Lie group to be embedded in a natural manner into an equivariant kinematic system. This framework allows us to characterise the properties of, and relationships between, invariant systems, group affine systems, and equivariant systems. We propose a new filter design, the Equivariant Filter (EqF), that exploits the equivariance properties of the system embedding and can be applied to any kinematic system on a Lie group.
An Equivariant Filter for Spacecraft Nonlinear Relative Navigation with Range and Bearing Measurements
Institute for Systems and Robotics, Laboratory of Robotics and Engineering Systems, Instituto Superior Técnico, University of Lisbon(里斯本大学技术学院系统与机器人研究所机器人与系统工程实验室);CTS/Uninova and LASI, School of Science and Technology, NOVA University Lisbon(新里斯本大学理学院科学和技术中心/创新研究所激光与智能系统研究所);GNC Division, Flight Segment and Robotics, GMV(GMV公司飞行段与机器人部门制导导航与控制分部)
Systems Theory and Robotics Group(系统理论与机器人组);Australian Centre for Robotic Vision(澳大利亚机器人视觉中心);Australian National University(澳大利亚国立大学);I3S (University Côte d’Azur, CNRS, Sophia Antipolis)(I3S(蔚蓝海岸大学、法国国家科学研究中心、索菲亚安提波利斯));Insitut Universitaire de France(法兰西学院)
Equivariant Filter for Relative Attitude and Target's Angular Velocity Estimation
Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa(系统机器人研究所,技术高等学院,里斯本大学);CTS/Uninova and LASI, School of Science and Technology at NOVA University Lisbon(CTS/Uninova 和 LASI,里斯本 NOVA 大学科学与技术学院);GNC Division, Flight Segment and Robotics, GMV(飞行段与机器人部,GMV)
Equivariant Symmetries for Inertial Navigation Systems
Control of Networked Systems Group, University of Klagenfurt, Austria(网络化系统控制组,克雷格弗尔特大学);Robotics Lab, Australian Centre for Robotic Vision, Australian National University, Australia(机器人实验室,澳大利亚机器人视觉中心,澳大利亚国立大学)