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Safe Navigation on Hazardous Terrain
(Georgia Institute of Technology, 2001-05)
This paper presents a new strategy for autonomous navigation of field mobile robots on hazardous natural terrain using a fuzzy logic approach and a measure of terrain traversability. The navigation strategy comprises three ...
Fuzzy Rule-Based Reasoning for Rover Safety and Survivability
(Georgia Institute of Technology, 2001-05)
Operational safety and health monitoring are critical matters for autonomous field mobile robots such as planetary rovers operating on challenging terrain. The paper describes relevant rover safety and health issues and ...
An intelligent terrain-based navigation system for planetary rovers
(Georgia Institute of Technology, 2001-12)
A fuzzy logic framework for onboard terrain analysis and guidance towards traversable regions. An onboard terrain-based navigation system for mobile robots operating on natural terrain is presented. This system utilizes a ...
Behavior-Based Robot Navigation on Challenging Terrain: A Fuzzy Logic Approach
(Georgia Institute of Technology, 2002-06)
This paper presents a new strategy for behavior-based navigation of field mobile robots on challenging terrain, using a fuzzy logic approach and a novel measure of terrain traversability. A key feature of the proposed ...
A Real-Time Autonomous Rover Navigation System
(Georgia Institute of Technology, 2000-06)
To enable real-time autonomous navigation, a mobile robot is equipped with on-board processing power, image-processing algorithms, and a fuzzy computation engine that allow the rover to safely navigate to a designated goal ...
Rule-based reasoning and neural network perception for safe off-road robot mobility
(Georgia Institute of Technology, 2002-09)
Operational safety and health monitoring are critical matters for autonomous field mobile robots such as planetary rovers operating on challenging terrain. This paper describes relevant rover safety and health issues and ...
Multi-sensor terrain classification for safe spacecraft landing
(Georgia Institute of Technology, 2004-10)
A novel multi-sensor information fusion methodology for intelligent terrain classification is presented. The focus of this research is to analyze safety characteristics of the terrain using imagery data obtained by on-board ...
A Human-Robot Mentor-Protégé Relationship to Learn Off-Road Navigation Behavior
(Georgia Institute of Technology, 2005-10)
In this paper, we present an approach to transfer human expertise for learning off-road navigation behavior to an autonomous mobile robot. The methodology uses the concept of humanized intelligence to combine principal ...
A novel tiered sensor fusion approach for terrain characterization and safe landing assessment
(Georgia Institute of Technology, 2006-03)
This paper presents a novel, tiered sensor fusion methodology for real-time terrain safety assessment. A combination of active and passive sensors, specifically, radar, lidar, and camera, operate in three tiers according ...
A Rule-Based Fuzzy Safety Index for Landing Site Risk Assessmen
(Georgia Institute of Technology, 2002-06)
This paper presents a fuzzy rule-based safety index that quantifies the ease-of-landing a spacecraft on a planetary surface based on sensor-derived measurements of terrain characteristics. These characteristics include, ...