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ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
16 years 1 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 1 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 28 days 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 6 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 6 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