6 citations · 8 across the 10 of their papers we have counts for
3 papers · 2 filters
Deep Learning for Optimization of Trajectories for Quadrotors
Yuwei Wu, Xiatao Sun, Igor Spasojevic +1
This paper presents a novel learning-based trajectory planning framework for quadrotors that combines model-based optimization techniques with deep learning. Specifically, we formu…
Design and Evaluation of Motion Planners for Quadrotors in Environments with Varying Complexities
Yifei Simon Shao, Yuwei Wu, Laura Jarin-Lipschitz +2
Motion planning techniques for quadrotors have advanced significantly over the past decade. Most successful planners have two stages: a front-end that determines a path that incorp…
TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors
Katherine Mao, Igor Spasojevic, M. Ani Hsieh +1
Planning time-optimal trajectories for quadrotors in cluttered environments is a challenging, non-convex problem. This paper addresses minimizing the traversal time of a given coll…