most citedTrajectory Generation for UAVs in Unknown Environments with Extreme Wind Disturbances

3 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY2019★ 3 cited

Trajectory Generation for UAVs in Unknown Environments with Extreme Wind Disturbances

Kenan Cole, Adam M. Wickenheiser

The widespread use of unmanned aerial vehicles (UAVs) by the military, commercial companies, and academia continues to push research for autonomous vehicle navigation, particularly…

math.OC2019★ 2 cited

Spatio-Temporal Wind Modeling for UAV Simulations

Kenan Cole, Adam Wickenheiser

Wind affects the stability and maneuverability of UAVs, which can be particularly dangerous when operating near obstacles or each other. In order to test the effectiveness of forma…

math.OC2017

Reactive Trajectory Generation for Multiple Vehicles in Unknown Environments with Wind Disturbances

Kenan Cole, Adam Wickenheiser

Unmanned aerial vehicle (UAV) use continues to increase, including operating beyond line of sight in unknown environments where the vehicle must autonomously generate a trajectory…

math.OC2017

Reactive Trajectory Generation in an Unknown Environment

Kenan Cole, Adam Wickenheiser

Autonomous trajectory generation for unmanned aerial vehicles (UAVs) in unknown environments continues to be an important research area as UAVs become more prolific. We define a tr…

cs.RO2017★ 2 cited

Controlling Parent Systems Through Swarms Using Abstraction

Kyle L Crandall, Adam M Wickenheiser

This study considers the control of parent-child systems where a parent system is acted on by a set of controllable child systems (i.e. a swarm). Examples of such systems include a…