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Real-Time Quad-Rotor Path Planning Using Convex Optimization and Compound State-Triggered Constraints

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arxiv 1902.09149 v1 pith:CDW6NVKA submitted 2019-02-25 math.OC

Real-Time Quad-Rotor Path Planning Using Convex Optimization and Compound State-Triggered Constraints

classification math.OC
keywords stcscompoundquad-rotoroptimizationpathplanningconditionconstraint
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The contribution of this paper is the application of compound state-triggered constraints (STCs) to real-time quad-rotor path planning. Originally developed for rocket landing applications, STCs are made up of a trigger condition and a constraint condition that are arranged such that satisfaction of the former implies satisfaction of the latter. Compound STCs go a step further by allowing multiple trigger and constraint conditions to be combined via Boolean "and" or "or" operations. The logical implications embodied by STCs can be formulated using continuous variables, and thus enable the incorporation of discrete decision making into a continuous optimization framework. In this paper, compound STCs are used to solve quad-rotor path planning problems that would typically require the use of computationally expensive mixed-integer programming techniques. Two scenarios are considered: (1) a quad-rotor flying through a hoop, and (2) a pair of quad-rotors carrying a beam-like payload through an obstacle course. Successive convexification is used to solve the resulting non-convex optimization problem. Monte-Carlo simulation results show that our approach can reliably generate trajectories at rates upwards of 3 and 1.5 Hz for the first and second scenarios, respectively.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. A Convex Obstacle Avoidance Formulation

    eess.SY 2025-12 reject novelty 2.0

    RCOA relaxes big-M obstacle-avoidance binaries into continuous penalties to get a convex MPC, but the approach is a known relaxation and the claimed proof is circular.