375 citations · 999 across the 17 of their papers we have counts for
7 papers · 1 filter
Particle Filters in Robotics (Invited Talk)
Sebastian Thrun
This presentation will introduce the audience to a new, emerging body of research on sequential Monte Carlo techniques in robotics. In recent years, particle filters have solved se…
Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots
Dragomir Anguelov, Rahul Biswas, Daphne Koller +2
Building models, or maps, of robot environments is a highly active research area; however, most existing techniques construct unstructured maps and assume static environments. In t…
Policy-contingent abstraction for robust robot control
Joelle Pineau, Geoffrey Gordon, Sebastian Thrun
This paper presents a scalable control algorithm that enables a deployed mobile robot system to make high-level decisions under full consideration of its probabilistic belief. Our…
Decentralized Sensor Fusion With Distributed Particle Filters
Matthew Rosencrantz, Geoffrey Gordon, Sebastian Thrun
This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized archi…
Recovering Articulated Object Models from 3D Range Data
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang +2
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to di…
Robotic Mapping with Polygonal Random Fields
Mark Paskin, Sebastian Thrun
Two types of probabilistic maps are popular in the mobile robotics literature: occupancy grids and geometric maps. Occupancy grids have the advantages of simplicity and speed, but…