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ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
16 years 2 months ago
Learning tactic-based motion models with fast particle smoothing
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
Yang Gu, Manuela M. Veloso
IROS
2008
IEEE
164views Robotics» more  IROS 2008»
16 years 2 months ago
Detecting obstacles and drop-offs using stereo and motion cues for safe local motion
— A mobile robot operating in an urban environment has to navigate around obstacles and hazards. Though a significant amount of work has been done on detecting obstacles, not mu...
Aniket Murarka, Mohan Sridharan, Benjamin Kuipers
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
16 years 1 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
ALGORITHMICA
2002
84views more  ALGORITHMICA 2002»
15 years 7 months ago
Exploring Unknown Environments with Obstacles
We study exploration problems where a robot has to construct a complete map of an unknown environment using a path that is as short as possible. In the rst problem setting we cons...
Susanne Albers, Klaus Kursawe, Sven Schuierer
RAS
2008
139views more  RAS 2008»
15 years 7 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto