Hyperparameter Tuning for
Trajectory Planning
via Successive Convexification (SCVX)
Trajectory Planning
via Successive Convexification (SCVX)
The following links provide supplemental material for the following papers. This work is lead by Skye McEowen and Behcet Ackimese through the ACL Lab at the University of Washington in Seattle.
Paper Links- Mceowen, S., Calderone, D., Tiwary, A., Zhou, J., Kim, T., Elango, P., Acikmese, B. Auto-Tuned Primal-Dual Successive Convexification for Hypersonic Reentry Guidance Scitech 2025
- Mceowen, S., Calderone, D., Tiwary, A., Elango, P. Kim, T. Acikmese, B. Auto-tuned Primal-Dual Successive Convexification for Hypersonic Reentry Guidance JGCD 2025 arxiv preprint
- Mceowen, S., Calderone, D., and Acikmese, B. Auto-tuned Primal-dual Successive Convexification for trajectory Optimization LCSS 2025 (in preparation)
- Hypersonic Reentry Modeling This post gives details and visualizations for the hypersonics dynamics models used in the above manuscripts.
- Sequential Convex Programming This post gives details on the basics of sequential convex programming for trajectory planning.