14 citations · 45 across the 33 of their papers we have counts for
12 papers · 2 filters
Auto-tuned Primal-dual Successive Convexification for Hypersonic Reentry Guidance
Skye Mceowen, Daniel J. Calderone, Aman Tiwary +4
This paper presents auto-tuned primal-dual successive convexification (Auto-SCvx), an algorithm designed to reliably achieve dynamically-feasible trajectory solutions for constrain…
Continuous-Time Line-of-Sight Constrained Trajectory Planning for 6-Degree of Freedom Systems
Christopher R. Hayner, John M. Carson, Behçet Açıkmeşe +1
Perception algorithms are ubiquitous in modern autonomy stacks, providing necessary environmental information to operate in the real world. Many of these algorithms depend on the v…
Revisiting Lossless Convexification: Theoretical Guarantees for Discrete-time Optimal Control Problems
Dayou Luo, Kazuya Echigo, Behçet Açıkmeşe
Lossless Convexification (LCvx) is a modeling approach that transforms a class of nonconvex optimal control problems, where nonconvexity primarily arises from control constraints,…
Optimization with Temporal and Logical Specifications via Generalized Mean-based Smooth Robustness Measures
Samet Uzun, Purnanand Elango, Pierre-Loic Garoche +1
This paper introduces a generalized mean-based C^1-smooth robustness measure over discrete-time signals (D-GMSR) for signal temporal logic (STL) specifications. In conjunction with…
Six-Degree-of-Freedom Aircraft Landing Trajectory Planning with Runway Alignment
Taewan Kim, Abhinav G. Kamath, Niyousha Rahimi +3
This paper presents a numerical optimization algorithm for generating approach and landing trajectories for a six-degree-of-freedom (6-DoF) aircraft. We improve on the existing res…
Fast Monte Carlo Analysis for 6-DoF Powered-Descent Guidance via GPU-Accelerated Sequential Convex Programming
Govind M. Chari, Abhinav G. Kamath, Purnanand Elango +1
We introduce a GPU-accelerated Monte Carlo framework for nonconvex, free-final-time trajectory optimization problems. This framework makes use of the prox-linear method, which belo…