— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
— We present a method of resolving simultaneous collisions between multiple rigid bodies based on the least action principle. By using the generalized directional derivative of t...
— In this paper, we examine the problem of extrinsic calibration of multiple LIDARs on a mobile vehicle platform. To achieve fully automated and on-line calibration, the original...
— Designing a localization system for a low-cost robotic consumer product poses a major challenge. In previous work, we introduced Vector Field SLAM [5], a system for simultaneou...
Jens-Steffen Gutmann, Gabriel Brisson, Ethan Eade,...
— This paper presents the development of a biomechatronic knee prosthesis for transfemoral amputees. This kind of prostheses are considered ‘intelligent’ because they are abl...
— Sampling-based kinodynamic planners, such as the popular RRT algorithm, have been proposed as promising solutions to planning for systems with dynamics. Nevertheless, complex s...
Abstract— In this paper we address the problem of simultaneous object class and pose estimation using nothing more than object class label measurements from a generic object clas...
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
—Object-class independent motion estimation from range data is a challenging task. We present here a novel approach that is able to derive a dense motion field based on range im...
— This paper presents three effective manipulation strategies for wheeled, dynamically balancing robots with articulated links. By comparing these strategies through analysis, si...