We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
The fields of human-robot interaction and entertainment robotics are truly interdisciplinary, combining the best of computer science, psychology, and mechanical engineering. Howe...
In augmented reality applications, tracking and registration of both cameras and objects is required because, to combine real and rendered scenes, we must project synthetic models...
Ali Shahrokni, Luca Vacchetti, Vincent Lepetit, Pa...
This paper presents a physics-based locomotion controller based on online planning. At each time-step, a planner optimizes locomotion over multiple phases of gait. Stance dynamics...
This paper introduces an approach to control of physics-based characters based on high-level features of movement, such as centerof-mass, angular momentum, and end-effectors. Obje...