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...
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...
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...
— 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...
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 ...