Open Access
Issue
MATEC Web Conf.
Volume 417, 2025
2025 RAPDASA-RobMech-PRASA-AMI Conference: Bridging the Gap between Industry & Academia - The 26th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, co-hosted by CSIR and Tshwane University of Technology, Pretoria
Article Number 04023
Number of page(s) 16
Section Robotics and Mechatronics
DOI https://doi.org/10.1051/matecconf/202541704023
Published online 25 November 2025
  1. S. Bouzoualegh, E.-H. Guechi, R. Kelaiaia, Model Predictive Control of a Differential-Drive Mobile Robot, Acta Universitatis Sapientiae, Electrical and Mechanical Engineering, 10, 20–41, (2018). https://doi.org/10.2478/auseme-2018-0002 [Google Scholar]
  2. B. Evans, Accelerating deep reinforcement learning for autonomous racing, Ph.D. thesis, Stellenbosch: Stellenbosch University, 2023 [Google Scholar]
  3. O. D. Keanly, J. A. A. Engelbrecht, Trajectory Planning and Collision Avoidance for an Autonomous Racing Car, (2024) [Google Scholar]
  4. A. Bertipaglia, M. Alirezaei, R. Happee, B. Shyrokau, Model Predictive Contouring Control for Vehicle Obstacle Avoidance at the Limit of Handling, arXiv preprint arXiv:2308.06742, (2023) [Google Scholar]
  5. X. Kong, C. Fisher, B. Evans, A Critical Evaluation of Pure Pursuit, MPC and MPCC Controllers, MATEC Web of Conferences, 406, 4013, (2019) [Google Scholar]
  6. D. Lam, C. Manzie, M. Good, Model Predictive Contouring Control, in 49th IEEE Conference on Decision and Control (CDC)(2010), 6137–6142 [Google Scholar]
  7. A. Heilmeier, A. Wischnewski, L. Hermansdorfer, J. Betz, M. Lienkamp, B. Lohmann, Minimum Curvature Trajectory Planning and Control for an Autonomous Race Car, Vehicle System Dynamics, 58, 1497–1527, (2020) [Google Scholar]
  8. A. Liniger, A. Domahidi, M. Morari, Optimization-Based Autonomous Racing of 1:43 Scale RC Cars, in IEEE Conference on Control Applications (CCA)(2015), 714–719 [Google Scholar]
  9. G. Borrello, L. Lorusso, M. Basso, A. Acernese, Trajectory Planning Based on Model Predictive Control with Dynamic Obstacle Avoidance, IEEE Transactions on Intelligent Transportation Systems, (2021) [Google Scholar]
  10. B. Brito, B. Floor, L. Ferranti, J. Alonso-Mora, Model Predictive Contouring Control for Collision Avoidance in Unstructured Dynamic Environments, IEEE Robot Autom Lett, 4, 4459–4466, (2019) [Google Scholar]
  11. L. Di, N. Huang, J. He, X. Wu, H. Huang, Y. Su, others, Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method, PLoS One, 20, e0326879, (2025) [Google Scholar]
  12. C.-H. Wu, K.-Y. Chan, Developing a dynamic obstacle avoidance system for autonomous mobile robots using Bayesian optimization and object tracking: Implementation and testing, Proc Inst Mech Eng C J Mech Eng Sci, (2024) [Google Scholar]
  13. M. Shi, G. Chen, Á. Serra Gómez, S. Wu, J. Alonso-Mora, Evaluating Dynamic Environment Difficulty for Obstacle Avoidance Benchmarking, arXiv preprint arXiv:2404.14848, (2024) [Google Scholar]
  14. K. Purdon, J. S. Dickens, W. De Ronde, K. Ramruthan, G. Crafford, Voyager, a ground mobile robotic platform for research development, https://researchspace.csir.co.za/items/efd30aa7-ec13-42b8-81ab-def1773bb3b7, (2023) [Google Scholar]
  15. J. Betz, H. Zheng, A. Liniger, U. Rosolia, P. Karle, M. Behl, V. Krovi, R. Mangharam, Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing, IEEE Open Journal of Intelligent Transportation Systems, 3, 458–488, (2022). https://doi.org/10.1109/ojits.2022.3181510 [Google Scholar]

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