9 papers
Stochastic Multiple Shooting Trajectory Optimization via Sequential Local Policy Evaluation
Ashwin Gupta, Joseph Moore
Stochastic single shooting trajectory optimization methods such as Model Predictive Path Integral control (MPPI) have been widely adopted in robotics due to their ability to reason…
Stratified Topological Autonomy for Long-Range Coordination (STALC)
Cora A. Duggan, Adam Goertz, Adam Polevoy +5
In this paper, we present Stratified Topological Autonomy for Long-Range Coordination (STALC), a hierarchical planning approach for multi-robot coordination in real-world environme…
A Multimodal Stochastic Planning Approach for Navigation and Multi-Robot Coordination
Mark Gonzales, Ethan Oh, Joseph Moore
In this paper, we present a receding-horizon, sampling-based planner capable of reasoning over multimodal policy distributions. By using the cross-entropy method to optimize a mult…
Real-Time Planning and Control with a Vortex Particle Model for Fixed-Wing UAVs in Unsteady Flows
Ashwin Gupta, Kevin Wolfe, Gino Perrotta +1
Unsteady aerodynamic effects can have a profound impact on aerial vehicle flight performance, especially during agile maneuvers and in complex aerodynamic environments. In this pap…
Uncertainty-Aware Planning for Heterogeneous Robot Teams using Dynamic Topological Graphs and Mixed-Integer Programming
Cora A. Duggan, Kevin C. Wolfe, Bradley Woosley +2
Multi-robot planning and coordination in uncertain environments is a fundamental computational challenge, since the belief space increases exponentially with the number of robots.…
Robust Perception-Based Navigation using PAC-NMPC with a Learned Value Function
Adam Polevoy, Mark Gonzales, Marin Kobilarov +1
Nonlinear model predictive control (NMPC) is typically restricted to short, finite horizons to limit the computational burden of online optimization. As a result, global planning f…