Sunday, Nov 4
Keynote 1: The Age of Human-Robot Collaboration (Abstract)
|Oussama Khatib, Stanford University, USA|
|14:45||Robotics for Nuclear Applications: Experience in the CAREM25 Small Modular Reactor||C. Trujillo, C. Smitt, A. Semine, M. Robador, T. Quispe, S. Pedre, A. Leano, I. Catalano, E. Battocchio, L. Acha, National Comision of Nuclear Energy, Bariloche, Argentina|
|15:00||Towards Constant-time Approximation of Global Uncertainties in Local Bundle Adjustment||G. Castro, F. Pessacg, M. Ossenkopf, T. Fischer, Kurt Geihs, Matı́as A. Nitsche, University of Buenos Aires, Argentina and University of Kassel, Germany|
|15:15||Cluster Space and Evolutionary Dynamics UAV Formation Control||P. Moreno, University of Buenos Aires, Argentina|
|16:00||Keynote 2: Sports and Robots (Abstract)||Yoshihiko Nakamura, University of Tokyo, Japan|
|16:35||Socially Appropriate Robot Motion for Wheeled Mobile Robots||J. C. Montesdeoca, J. M. Toibero, R. Carelli, University of San Juan, Argentina|
|16:50||Experimental Validation of a Fault Tolerant Hexacopter with Tilted Rotors||C. D. Pose, University of Buenos Aires, Argentina|
|17:05||A Receding Horizon Framework for Autonomy in Unmanned Vehicles||G. Sánchez, M. Murillo, L. Genzelis, N. Deniz and L. Giovanini, University of Litoral, Argentina|
|17:50||Keynote 3: Building Robots That Learn to Work with, and Work for, Human Supervisors (Abstract)||Greg Dudek, McGill University, Canada|
|18:25||Experimental Platform for Multi-Robot Systems: A Heterogeneous Focus||P. Paniagua-Contro, O. Sanchez, E.G. Hernandez-Martinez, E.D. Ferreira, J.J. Flores-Godoy, G. Fernandez-Anaya, A. Lopez-Gonzalez, Iberoamerican University, Mexico City, Mexico and Catholic University of Uruguay, Montevideo, Uruguay|
|18:40||Multi Robot Path Planning Using Distributed Target Tracking in a Camera Network||M. Estefanı́a Pereyra, Diego Gonzalez Dondo, R. Gastón Araguás, National University of Technology, Córdoba, Argentina|
|18:55||Dynamic modeling and caracterization of a hexapod crawling robot||M. Mazzanti, J. R. Reynal, P. De Cristóforis, F. Pessacg, University of Buenos Aires, Argentina|
|20:30||Dinner at Parrilla La Dorita (not included)|
Keynote 1: Oussama Khatib, Stanford University, USA
The Age of Human-Robot Collaboration
Abstract: Robotics is undergoing a major transformation in scope and dimension with accelerating impact on the economy, production, and culture of our global society. The generations of robots now being developed will increasingly touch people and their lives. They will explore, work, and interact with humans in their homes, workplaces, in new production systems, and in challenging field domains. The emerging robots will provide increased support in mining, underwater, hostile environments, as well as in domestic, health, industry, and service applications. Combining the experience and cognitive abilities of the human with the strength, dependability, reach, and endurance of robots will fuel a wide range of new robotic applications. The discussion focuses on design concepts, control architectures, task primitives and strategies that bring human modeling and skill understanding to the development of this new generation of collaborative robots.
Keynote 2: Yoshihiko Nakamura, University of Tokyo, Japan
Sports and Robots
Abstract: The 2020 Olympic game is coming to Tokyo. It is not only because of the Olympic game that the research on sports performance is drawing attention of scientists including roboticists in Japan. It is also because that the knowledge in human motion is demanded for the elderly society and that the technology is likely ready to make significant steps toward the complex problem. The AI and robotics are challenging the problem and developing new solutions. This talk will show some recent developments from the unique computational point of view developed in robotics.
Keynote 3: Greg Dudek, McGill University, Canada
Building Robots That Learn to Work with, and Work for, Human Supervisors
Abstract: In this talk I will discuss the development of autonomous mobile robots that navigate outdoors in unstructured environments under the remote supervision of human supervisors. We are interested in two inter-related problems that focus on satisfaction on human-driven needs: assuring that the robot is trusted by a human supervisor, and collecting data according to learned behavioural cues. In the case of trust, we focus on building models of human-robot trust when a human supervisor closely monitors an autonomous vehicle, such that the robot can quantitatively model, and then modulate, the amount of trust that a operator may have. In this case we focus on human-robot interaction and classical learning methods. In the context of data collection, we focus of problems where an autonomous vehicle is deployed to collect data in the air or underwater, and human guidance takes the form on example data used to teach the robot how to behave.