SocRob

Official webpage for SocRob, a R&D team project at ISR-IST devoted to research and international robotic competitions (e.g. Robocup).


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Table of Contents

Research

The SocRob team is mainly driven by research on the following topics:

Meeting in ISR-IST
  • Perception and sensor fusion, that is, the problem of extracting meaningful information from one or more sensors, and how to fuse together information from several sources, taking into account their associated uncertainty. We take a probabilistic approach on quantitatively representing uncertainty, as well as performing inference, on the solid theoretical framework provided by Bayesian statistics;
  • Decision making under uncertainty, since both perception and action affects on the real world are inherently uncertain, we take a decision-theoretic approach on the maximization of the expected utility;
  • Human-robot interaction, once robots operate in human-inhabited environments, robots need to interact with humans; in this context we pursue multiple communication modalities, including speech, web-based remote interface, and onboard touch interface;
  • Manipulation and grasping, that is, the problem of robots being capable of grasping and manipulating real world objects in human; here we are interested on topics ranging from finger design, up to motion planning;

Publications

* Miguel Vaz and Rodrigo Ventura. Real-time ground-plane based mobile localization using depth camera in real scenarios. Journal of Intelligent & Robotic Systems, pages 1–12, 2015.

* João Messias, Rodrigo Ventura, Pedro Lima, João Sequeira, Paulo Alvito, Carlos Marques, and Paulo Carriço. A robotic platform for edutainment activities in a pediatric hospital. In Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2014.

* Rodrigo Ventura and Aamir Ahmad. RoboCup 2014: Robot World Cup XVIII, chapter Towards Optimal Robot Navigation in Urban Homes, pages 318–331. LNAI 8992. Springer, 2015.