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» Robot visual servoing with iterative learning control
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ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
14 years 10 days ago
Vision-Based Control of a Gough-Stewart Parallel Mechanism using Legs Observation
Abstract— This paper presents a novel approach for visionbased control of the end-effector of parallel mechanisms. It is based on the metrological redundancy paradigm, which simp...
Nicolas Andreff, Arnaud Marchadier, Philippe Marti...
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
13 years 4 months ago
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
In the future, robotic surgical assistants may assist surgeons by performing specific subtasks such as retraction and suturing to reduce surgeon tedium and reduce the duration of s...
Jur van den Berg, Stephen Miller, Daniel Duckworth...
ECML
2006
Springer
13 years 10 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
ICRA
2006
IEEE
223views Robotics» more  ICRA 2006»
14 years 23 days ago
Real-time 3D Model-based Tracking: Combining Edge and Texture Information
— This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm. A non linear minimization approach is used to register 2D and 3D cues for monocular 3D...
Muriel Pressigout, Éric Marchand
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 1 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...