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» Bio-inspired Model of Robot Adaptive Learning and Mapping
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CONNECTION
2006
91views more  CONNECTION 2006»
13 years 8 months ago
From unknown sensors and actuators to actions grounded in sensorimotor perceptions
This article describes a developmental system based on information theory implemented on a real robot that learns a model of its own sensory and actuator apparatus. There is no in...
Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
14 years 1 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
IROS
2009
IEEE
140views Robotics» more  IROS 2009»
14 years 2 months ago
Transferring embodied concepts between perceptually heterogeneous robots
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
Zsolt Kira
TMC
2008
123views more  TMC 2008»
13 years 7 months ago
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
In wireless networks, a client's locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for ...
Jie Yin, Qiang Yang, Lionel M. Ni
ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
14 years 2 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz