6 citations · 8 across the 10 of their papers we have counts for
11 papers
Learning Smooth SE(3) Trajectories under Left-Invariant Riemannian Metrics
Yuwei Wu, Vijay Kumar
Optimal trajectory generation for rigid-body motions on Lie groups can be formulated as a variational problem that minimizes energy functionals defined by Riemannian metrics. While…
MIGHTY: Hermite Spline-based Efficient Trajectory Planning
Kota Kondo, Yuwei Wu, Vijay Kumar +1
Hard-constraint trajectory planners often rely on commercial solvers and demand substantial computational resources. Existing soft-constraint methods achieve faster computation, bu…
Collision-free time-optimal path parameterization for multi-robot teams
Katherine Mao, Igor Spasojevic, Malakhi Hopkins +2
Coordinating the motion of multiple robots in cluttered environments remains a computationally challenging task. We study the problem of minimizing the execution time of a set of g…
RT-GuIDE: Real-Time Gaussian Splatting for Information-Driven Exploration
Yuezhan Tao, Dexter Ong, Varun Murali +3
We propose a framework for active mapping and exploration that leverages Gaussian splatting for constructing dense maps. Further, we develop a GPU-accelerated motion planning algor…
Safe Interval Motion Planning for Quadrotors in Dynamic Environments
Songhao Huang, Yuwei Wu, Yuezhan Tao +1
Trajectory generation in dynamic environments presents a significant challenge for quadrotors, particularly due to the non-convexity in the spatial-temporal domain. Many existing m…
Towards Optimizing a Convex Cover of Collision-Free Space for Trajectory Generation
Yuwei Wu, Igor Spasojevic, Pratik Chaudhari +1
We propose an online iterative algorithm to optimize a convex cover to under-approximate the free space for autonomous navigation to delineate Safe Flight Corridors (SFC). The conv…
An Active Perception Game for Robust Exploration
Siming He, Yuezhan Tao, Igor Spasojevic +2
Active perception approaches select future viewpoints by using some estimate of the information gain. An inaccurate estimate can be detrimental in critical situations, e.g., locati…
Trajectory Optimization with Global Yaw Parameterization for Field-of-View Constrained Autonomous Flight
Yuwei Wu, Yuezhan Tao, Igor Spasojevic +1
Trajectory generation for quadrotors with limited field-of-view sensors has numerous applications such as aerial exploration, coverage, inspection, videography, and target tracking…
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…