Patrick Doherty — accepted AI-conference papers

2019

Real-Time Robotic Search using Structural Spatial Point Processes

Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani

UAI 2019poster

Aerial robots hold great potential for aiding Search and Rescue (SAR) efforts over large areas, such as during natural disasters. Traditional approaches typically search an area exhaustively, thereby ignoring that the density of victims varies based on predictable factors, such as the terrain, popul…

Cited by 3 Source ↗PDF ↗Scholar ↗

2016

Model-predictive control with stochastic collision avoidance using Bayesian policy optimization

Olov Andersson, Mariusz Wzorek, Piotr Rudol, Patrick Doherty

ICRA 2016

Robots are increasingly expected to move out of the controlled environment of research labs and into populated streets and workplaces. Collision avoidance in such cluttered and dynamic environments is of increasing importance as robots gain more autonomy. However, efficient avoidance is fundamentall

Cited by 45 Source ↗Scholar ↗