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 04016
Number of page(s) 11
Section Robotics and Mechatronics
DOI https://doi.org/10.1051/matecconf/202541704016
Published online 25 November 2025
  1. C. Mailer, S. Shield, R. Govender, A. Patel, Getting Air: Modelling and Control of a Hybrid Pneumatic-Electric Legged Robot. IEEE Int. Conf. Robot. Autom. (ICRA) 2023, 9973, 9979 (2023). https://doi.org/10.1109/ICRA48891.2023.10160737 [Google Scholar]
  2. M. Hildebrand, Motions of the running cheetah and horse. J. Mammal. 40, 481 (1959). https://doi.org/10.2307/1376265 [Google Scholar]
  3. C. Fisher, S. Shield, A. Patel, The effect of spine morphology on rapid acceleration in quadruped robots. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS) 2017, 2121, 2127 (2017). https://doi.org/10.1109/IROS.2017.8206028 [Google Scholar]
  4. P. Eckert, A. Spröwitz, H. Witte, A. J. Ijspeert, Comparing the effect of different spine and leg designs for a small bounding quadruped robot. IEEE Int. Conf. Robot. Autom. (ICRA) 2015, 3128, 3133 (2015). https://doi.org/10.1109/ICRA.2015.7139629 [Google Scholar]
  5. M. Kelly, An introduction to trajectory optimization: How to do it, what it is, and why it works. SIAM Rev. 59, 849 (2017). https://doi.org/10.1137/16m1062569 [Google Scholar]
  6. P. E. Hudson, S. A. Corr, A. M. Wilson, High speed galloping in the cheetah (Acinonyx jubatus) and the racing greyhound (Canis familiaris): Spatio-temporal and kinetic characteristics. J. Exp. Biol. 215, 2425 (2012). https://doi.org/10.1242/jeb.066720 [Google Scholar]
  7. T. Kamimura, Y. Ambe, S. Aoi, F. Matsuno, Body flexibility effects on foot loading based on quadruped bounding models. Artif. Life Robot. 20, 270 (2015). https://doi.org/10.1007/s10015-015-0223-z [Google Scholar]
  8. A. Patel, S. L. Shield, S. Kazi, A. M. Johnson, L. T. Biegler, Contact-implicit trajectory optimization using orthogonal collocation. IEEE Robot. Autom. Lett. 4, 2242 (2019). https://doi.org/10.1109/LRA.2019.2900840 [Google Scholar]
  9. Z. Gan, Z. Jiao, C. D. Remy, On the dynamic similarity between bipeds and quadrupeds: A case study on bounding. IEEE Robot. Autom. Lett. 3, 3614 (2018). https://doi.org/10.1109/LRA.2018.2854923 [Google Scholar]
  10. S. Shield, A contact-implicit direct trajectory optimization scheme for the study of legged maneuverability. Ph.D. thesis, University of Cape Town, Faculty of Engineering and the Built Environment (2022) [Google Scholar]
  11. W. E. Hart, C. D. Laird, J.-P. Watson, D. L. Woodruff, G. A. Hackebeil, B. L. Nicholson, J. D. Siirola, Pyomo-optimization modeling in python (Springer, Berlin, 2017) [Google Scholar]
  12. A. Wächter, L. T. Biegler, On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math. Program. 106, 25 (2006) [CrossRef] [Google Scholar]
  13. T. Rees, HSL. A collection of Fortran codes for large scale scientific computation (2022) [Google Scholar]
  14. S. Bhattacharya, A. Singla, D. Dholakiya, S. Bhatnagar, B. Amrutur, A. Ghosal, S. Kolathaya, Learning active spine behaviors for dynamic and efficient locomotion in quadruped robots. IEEE Int. Conf. Robot. Human Interact. Commun. (RO-MAN) 2019, 1, 6 (2019). https://doi.org/10.1109/RO-MAN46459.2019.8956332 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.