To help and support us in our daily life, communication and interaction with robots must be efficient and stress-free. Human language and gestures are natural and rich sources of information that can be used to assign or even explain tasks to a robot who, in turn, should communicate their actions and intentions to those in their surroundings and specifically to the people they collaborate with. We investigate both areas i.e. new methods of human body pose and language understanding and interaction between humans and robots to ultimately integrate robots in our homes and workplaces in a way which is unobtrusive.
- Designing a robot platform for disabled employees: some practical ethical considerations, Tommaso Colombino, Shreepriya Shreepriya, Danilo Gallo, ICRA 2020
- The impact of organizational properties on the design of robotic support for employees with disabilities, Danilo Gallo, Shreepriya Shreepriya, Tommaso Colombino, HRI 2020
- SMPLy benchmarking 3D human pose estimation in the wild, Vincent Leroy, Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Gregory Rogez, International Conference on 3D Vision, 2020
- DOPE: distillation of part experts for whole-body 3D pose estimation in the wild, Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Gregory Rogez, ECCV 2020
- LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images, Gregory Rogez, Philippe Weinzaepfel, Cordelia Schmid, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
- Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models, Cesar Roberto De Souza, Yohann Cabon, Adrien Gaidon, Naila Murray, Antonio Lopez, International Journal of Computer Vision, 2019