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Equivariant Filter Design for Kinematic Systems on Lie Groups

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arxiv 2004.00828 v2 pith:ABUTRHIM submitted 2020-04-02 eess.SY cs.SY

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keywords systemsequivariantkinematicsystemdesignfiltergroupproperties
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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.

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  1. Symmetries-enhanced Multi-Agent Reinforcement Learning

    cs.RO 2025-01 conditional novelty 5.0 of 10

    A canonicalization-based equivariant graph transformer with a learned symmetry-breaking head improves collision rates and zero-shot scalability in simulated quadrotor swarm MARL.

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