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Time-Jerk Optimal Robotic Trajectory Planning Under Jerk and Continuity Constraints via Convex Optimization

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Publicado en:Actuators vol. 14, no. 6 (2025), p. 272
Autor Principal: Chen, Qian
Outros autores: Yao Jianjun, Zhang, Yikun
Publicado:
MDPI AG
Materias:
Scheduling
Kinematics
Velocity
Dynamic programming
Smoothness
Trajectory optimization
Convexity
Optimization
Spline functions
Robots
Path tracking
Convex analysis
Linear programming
Methods
Constraints
Trajectory planning
Efficiency
Optimization models
Robotics
Acceso en liña:Citation/Abstract
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Resumo:This paper proposes a robot trajectory planning method focused on time and jerk optimization under compound constraints. First, the robot path-tracking task is parameterized by incorporating both kinematic and dynamic constraints in joint and Cartesian spaces, establishing a time-optimal trajectory optimization model. To achieve C3 continuity in joint motion, joint-motion continuity conditions are analyzed, and optimization variables are reconstructed using piecewise cubic splines with corresponding continuity constraints. Considering the nonlinear and nonconvex characteristics of jerk constraints, the time-optimal planning model is decomposed into two second-order cone programming (SOCP) subproblems, achieving linear convexification of the original problem. Additionally, the objective function is improved to optimize both time and joint jerk simultaneously. Experimental results confirm that the proposed method effectively improves robot efficiency and trajectory smoothness.
ISSN:2076-0825
DOI:10.3390/act14060272
Fonte:Advanced Technologies & Aerospace Database