Abstract | ||
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This paper proposes the use of piecewise C-n smooth curve for mobile-base motion planning and control, coined Timed-Elastic Smooth Curve (TESC) planner. Based on a Timed-Elastic Band, the problem is defined so that the trajectory lies on a spline in SE(2) with non-vanishing n-th derivatives at every point. Formulated as a multi-objective nonlinear optimization problem, it allows imposing soft constraints such as collision-avoidance, velocity, acceleration and jerk limits, and more. The planning process is realtime-capable allowing the robot to navigate in dynamic complex scenarios. The proposed method is compared against the state-of-the-art in various scenarios. Results show that trajectories generated by the TESC planner have smaller average acceleration and are more efficient in terms of total curvature and pseudo-kinetic energy while being produced with more consistency than state-of-the-art planners do. |
Year | DOI | Venue |
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2019 | 10.1109/IROS40897.2019.8968240 | 2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) |
Field | DocType | ISSN |
Motion planning,Spline (mathematics),Total curvature,Computer science,Mathematical analysis,Jerk,Control engineering,Acceleration,Smoothness,Trajectory,Piecewise | Conference | 2153-0858 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jeremie Deray | 1 | 2 | 2.07 |
Bence Magyar | 2 | 1 | 1.03 |
Joan Solà | 3 | 277 | 19.66 |
Juan Andrade-Cetto | 4 | 1404 | 251.42 |