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» Managing Complexity in Large Learning Robotic Systems
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ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
13 years 11 months ago
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. I...
Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yo...
FLAIRS
2006
13 years 6 months ago
Robot Navigation Using Integrated Retrieval of Behaviors and Routes
RUPART1 is a hybrid robot control system for navigating a real-world, academic building. Hybrid robot control systems provide robust low-level navigation together with strategic p...
Susan Eileen Fox, Peter Anderson-Sprecher
IROS
2007
IEEE
172views Robotics» more  IROS 2007»
13 years 11 months ago
Motor control optimization of compliant one-legged locomotion in rough terrain
— While underactuated robotic systems are capable of energy efficient and rapid dynamic behavior, we still do not fully understand how body dynamics can be actively used for ada...
Fumiya Iida, Russ Tedrake
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
13 years 11 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
13 years 3 months ago
Parameterized maneuver learning for autonomous helicopter flight
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Ab...