YeeKal

trajectory optimization on Lie group

YeeKal โ€ข โ€ข
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2023-RSS-Convex Geometric Motion Planning on Lie Groups via Moment Relaxation

Background

  • local search methods: fast, but depends on good initialization
  • sampling-based methods: only probabilistic complete
  • global optimization:
    • (discrete)Mixed-integer programming
    • (continuous)Polynomial programming

Global optimization does not scale well: - robot models - problem structure

This methods: - geometric formulation for robot dynamics - exploit the problem sparsity - leverage the Lasserre's hierarchy of moment relaxation

for kinodynamic motion planning

Method

  • Polynomial optimization problem(POP)
    • Polynomial objective and constraints

book: An introduction to polynomial and semi-algebraic optimization