On kinodynamic global planning in a simplicial complex environment: A mixed integer approach
This work casts the kinodynamic planning problem for car-like vehicles as an optimisation task to compute a minimum-time trajectory and its associated velocity profile, subject to boundary conditions on velocity, acceleration, and steering. The approach simultaneously optimises both the spatial path...
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Published in | Mechanism and machine theory Vol. 215; p. 106172 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.11.2025
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Online Access | Get full text |
ISSN | 0094-114X |
DOI | 10.1016/j.mechmachtheory.2025.106172 |
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Abstract | This work casts the kinodynamic planning problem for car-like vehicles as an optimisation task to compute a minimum-time trajectory and its associated velocity profile, subject to boundary conditions on velocity, acceleration, and steering. The approach simultaneously optimises both the spatial path and the sequence of acceleration and steering controls, ensuring continuous motion from a specified initial position and velocity to a target end position and velocity. The method analyzes the admissible control space and terrain to avoid local minima. The proposed method operates efficiently in simplicial complex environments, a preferred terrain representation for capturing intricate 3D landscapes. The problem is initially posed as a mixed-integer fractional program with quadratic constraints, which is then reformulated into a mixed-integer bilinear objective through a variable transformation and subsequently relaxed to a mixed-integer linear program using McCormick envelopes. Comparative simulations against planners such as MPPI and log-MPPI demonstrate that the proposed approach generates solutions 104 times faster while strictly adhering to the specified constraints.
•Mixed-integer formulation for kinodynamic planning on 3D terrain meshes.•Efficient algorithm to solve the mixed-integer kinodynamic planning problem.•Software implementation of the global kinodynamic planner. |
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AbstractList | This work casts the kinodynamic planning problem for car-like vehicles as an optimisation task to compute a minimum-time trajectory and its associated velocity profile, subject to boundary conditions on velocity, acceleration, and steering. The approach simultaneously optimises both the spatial path and the sequence of acceleration and steering controls, ensuring continuous motion from a specified initial position and velocity to a target end position and velocity. The method analyzes the admissible control space and terrain to avoid local minima. The proposed method operates efficiently in simplicial complex environments, a preferred terrain representation for capturing intricate 3D landscapes. The problem is initially posed as a mixed-integer fractional program with quadratic constraints, which is then reformulated into a mixed-integer bilinear objective through a variable transformation and subsequently relaxed to a mixed-integer linear program using McCormick envelopes. Comparative simulations against planners such as MPPI and log-MPPI demonstrate that the proposed approach generates solutions 104 times faster while strictly adhering to the specified constraints.
•Mixed-integer formulation for kinodynamic planning on 3D terrain meshes.•Efficient algorithm to solve the mixed-integer kinodynamic planning problem.•Software implementation of the global kinodynamic planner. |
ArticleNumber | 106172 |
Author | Maloletov, Alexander Jerome, Otobong Kulathunga, Geesara Klimchik, Alexandr |
Author_xml | – sequence: 1 givenname: Otobong orcidid: 0000-0003-2535-5978 surname: Jerome fullname: Jerome, Otobong email: o.jerome@innopolis.university organization: Center of Autonomous Technologies, Innopolis University, Universitetskaya St, 1, Innopolis, 420500, Republic of Tatarstan, Russia – sequence: 2 givenname: Alexandr orcidid: 0000-0002-2244-1849 surname: Klimchik fullname: Klimchik, Alexandr email: aklimchik@lincoln.ac.uk organization: School of Computer Science, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, Lincoln, United Kingdom – sequence: 3 givenname: Alexander surname: Maloletov fullname: Maloletov, Alexander email: a.maloletov@innopolis.university organization: Center of Autonomous Technologies, Innopolis University, Universitetskaya St, 1, Innopolis, 420500, Republic of Tatarstan, Russia – sequence: 4 givenname: Geesara surname: Kulathunga fullname: Kulathunga, Geesara email: gkulathunga@lincoln.ac.uk organization: School of Computer Science, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, Lincoln, United Kingdom |
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Keywords | Simplicial complex environments Mixed-integer Kinodynamic pathfinding Geodesic trajectories |
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SubjectTerms | Geodesic trajectories Kinodynamic pathfinding Mixed-integer Simplicial complex environments |
Title | On kinodynamic global planning in a simplicial complex environment: A mixed integer approach |
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