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» Mobile robot navigation using sensor fusion
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ICRA
2009
IEEE
171views Robotics» more  ICRA 2009»
15 years 6 months ago
Consistent cooperative localization
— In cooperative navigation, teams of mobile robots obtain range and/or angle measurements to each other and dead-reckoning information to help each other navigate more accuratel...
Alexander Bahr, Matthew R. Walter, John J. Leonard
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
15 years 5 months ago
Correspondenceless Ego-Motion Estimation Using an IMU
Abstract— Mobile robots can be easily equipped with numerous sensors which can aid in the tasks of localization and ego-motion estimation. Two such examples are Inertial Measurem...
Ameesh Makadia, Kostas Daniilidis
HRI
2006
ACM
15 years 5 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
ICRA
1998
IEEE
148views Robotics» more  ICRA 1998»
15 years 4 months ago
Position Estimation Using Principal Components of Range Data
1 sensors is to construct a structural description from sensor data and to match this description to a previously acquired model [Crowley 85]. An alternative is to project individu...
James L. Crowley, Frank Wallner, Bernt Schiele
TFS
2008
93views more  TFS 2008»
14 years 11 months ago
Using Fuzzy Logic to Design Separation Function in Flocking Algorithms
Abstract--Flocking algorithms essentially consist of three components: alignment, cohesion, and separation. To track a desired trajectory, the flock center should move along the de...
Dongbing Gu, Huosheng Hu