4 accepted papers
In the current paper we investigate the challenges of localizing walking humanoid robots using Visual SLAM (VSLAM). We propose a novel dense RGB-D SLAM framework that seamlessly integrates with the dynamic state of a humanoid, to provide real-time localization and dense mapping of its surroundings.…
The capacity of a system to automatically analyze and predict the performance of a human in a particular task can provide important information in Human-Robot Interaction. Despite its usefulness, the above topic has received rather limited attention in the literature. In the current work, we introdu…
The ability to predict the duration of an activity can enable a robot to plan its behaviors ahead, interact seamlessly with other humans, by coordinating its actions, and allocate effort and resources to tasks that are time-constrained or critical. Despite its usefulness, models that examine the tem…
Visual Odometry (VO) is a proven technology for planetary exploration rovers, facilitating their localization with a small error over medium-sized trajectories. However, due to VO's incremental mode of operation, its estimation error accumulates over time, resulting in considerable drift for long tr…