Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping
FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem
an o ( log n ) algorithm for simultaneous localization and mapping of mobile robots in indoor environments .
Local accuracy and global consistency for efficient SLAM
Performance Analysis of the Microsoft Kinect Sensor for 2D Simultaneous Localization and Mapping (SLAM) Techniques
A Probabilistic Approach to Collaborative Multi-Robot Localization
A SLAM algorithm for indoor mobile robot localization using an Extended Kalman filter and a segment based environment mapping
C-KLAM: Constrained keyframe-based localization and mapping
markov localization for mobile robots in dynamic environments .
A statistical measure for map consistency in SLAM
CD SLAM - continuous localization and mapping in a dynamic world
Particle filters for mobile robot localization
A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments
Treemap: An O(log n) algorithm for indoor simultaneous localization and mapping
Collaborative Multi-Robot Localization
Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping
A Practical Multirobot Localization System
A multifrontal QR factorization approach to distributed inference applied to multi-robot localization and mapping
On Measuring the Accuracy of SLAM Algorithms
A study of Monte Carlo localization on robot operating system
Improved visual SLAM: a novel approach to mapping and localization using visual landmarks in consecutive frames
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Sex differences in viewing sexual stimuli : An eye-tracking study in men and women
Optimizing the Vehicle Routing Problem With Time Windows: A Discrete Particle Swarm Optimization Approach
Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance
Mining Education Data to Predict Student's Retention: A comparative Study