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ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
13 years 11 months ago
Dogged Learning for Robots
— Ubiquitous robots need the ability to adapt their behaviour to the changing situations and demands they will encounter during their lifetimes. In particular, non-technical user...
Daniel H. Grollman, Odest Chadwicke Jenkins
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
13 years 11 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
RAS
2010
109views more  RAS 2010»
13 years 3 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...
ICNC
2005
Springer
13 years 10 months ago
Novel Leaning Feed-Forward Controller for Accurate Robot Trajectory Tracking
This paper presents a novel learning feed-forward controller design approach for accurate robotics trajectory tracking. Based on the joint nonlinear dynamics characteristics, a mod...
D. Bi, G. L. Wang, Jun Zhang, Q. Xue
ICRA
2000
IEEE
101views Robotics» more  ICRA 2000»
13 years 9 months ago
Towards Programming Tools for Robots that Integrate Probabilistic Computation and Learning
This paper describes a programming language extension of C++, called CES, specifically targeted towards mobile robot control. CES’s design is motivated by a recent series of su...
Sebastian Thrun