Hyperparameter Tuning for
Trajectory Planning
via Successive Convexification (SCVX)
Trajectory Planning
via Successive Convexification (SCVX)
Paper Links
- Mceowen S., Calderone D.J. , Tiwary A., Zhou J., Kim T., Elango P., Ackimese B. Autotuned Primal–Dual Successive Convexification for Reentry Guidance JGCD 2025 arxiv preprint
- Mceowen S., Calderone D.J., Tiwary A., Zhou J., Kim T. Elango P. Ackimese B. Auto-tuned Primal-dual Successive Convexification for Hypersonic Reentry Guidance AIAA Scitech 2025. (best atmospheric flight me- chanics paper)
- Mceowen S., Morales C., Calderone D.J., Uzun S., Cook E. Ackimese B. Auto-Tuned Primal-Dual Successive Convexification for Powered Descent Guidance AIAA SCITECH 2026
- Mceowen S., Morales C., Johnson B. Calderone D.J. , Cook E., Carson J., Acikmese B. Auto-Tuned Successive Convexification for Entry Guidance With Continuous-Time Constraint Satisfaction”. AIAA SCITECH 2026
- Tiwary, A., Calderone D.J. , Uzun S., Devonport R., Ackimese B., Oishi M. Sequential Convex Programming for Multi-Agent Trajectory Planning with Continuous Connectivity Constraints ACC 2027 (IN PREPARATION)
This work is joint with Skye Mceowen, Carlos Morales, Behcet Ackimese and others through the ACL Lab at the University of Washington in Seattle.
Blog Posts- 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.