8 accepted papers
Inverse optimal control (IOC) is a framework used in many fields, especially in robotics and human motion analysis. In this context, various methods of resolution have been proposed in the literature. This article presents Projected Inverse Optimal Control (PIOC), an approach that offers a simple an…
Inverse Optimal Control (IOC) is a popular method for human motion analysis. In the context of these methods it is necessary to pay attention to the reliability of the results. This paper proposes an approach based on the evaluation of Karush-Kuhn-Tucker conditions relying on a complete analysis wit…
This paper addresses the problem of localizing and tracking one intermittent, moving sound source using a microphone array on a mobile robot. Robot motion provides a solution for estimating the distance to the source and avoiding front-back ambiguity. We propose a mixture Kalman filter (MKF) framewo…
Load-sensing floors are capable of tracking objects without suffering from occlusions nor posing the same privacy issues as cameras. They have been mostly used to analyze human gait as a way of continuous diagnosis but could also be placed alongside robots to help monitoring in specialized instituti
We consider the task of audio source localization using a microphone array on a mobile robot. Active localization algorithms have been proposed in the literature that can estimate the 3D position of a source by fusing the measurements taken for different poses of the robot. The robot movements are t…
In ambient intelligence, pressure sensing can be used for detecting and recognizing objects based on their load profile. This paper presents a pressure scanning technique that improves weight-based object recognition, by adding information about the surface of the object in contact with the floor. T…
This paper presents a new taboo-list approach for multi-robot exploration of unknown structured environments, in which agents are implicitly guided in their navigation on a globally shared map. Agents have a local view of their environment, inside which they navigate in a asynchronous manner. When t…
Human pose estimation in realistic world conditions raises multiple challenges such as foreground extraction, background update and occlusion by scene objects. Most of existing approaches were demonstrated in controlled environments.