Temporal logic is a concise way of specifying complex tasks. However, motion planning to achieve temporal logic specifications is difficult, and existing methods struggle to scale to complex ...

Optimization based motion planning provides a useful modeling framework through various costs and constraints. Using Graph of Convex Sets (GCS) for trajectory optimization gives guarantees of ...

Non-convex optimization is now ubiquitous in machine learning. While previously, ... Previously, I have worked on learning Markov graph structure of probabilistic models, ...

The graph below shows the total number of publications each year in Convex Optimization and Feasibility Problems. References [1] Superiorized Adaptive Projected Subgradient Method With Application ...