<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class=""><br class=""></div>The Institute for Systems and Robotics (ISR), a unit of the Laboratory of Robotics and Systems in Engineering and Science ( <a href="http://larsys.pt/" class="">LARSyS</a>), located at Instituto Superior Técnico (IST), U. Lisbon, Portugal, invites PhD student applications to contribute to its long-standing activities in the domain of multi-robot systems, including an excellent track-record of related research projects: <a href="http://welcome.isr.tecnico.ulisboa.pt/projects_cat/irsg/" class="">http://welcome.isr.tecnico.ulisboa.pt/projects_cat/irsg/</a><br class=""><div class=""><div class=""><br class="">The PhD positions will be part of the nationally-funded project (FCT) HOTSPOT “Human-robOt TeamS without PrecoOrdinaTion”. The exciting research key goal of HOTSPOT is to explore the challenges that the collaborative interaction between robots and humans poses in terms of decision making.<br class=""><br class=""><br class=""><b class="">PhD topic: Human Intention Prediction and Robot Response in Mixed Human-Robot Teams</b><br class=""><br class="">The ability to interact naturally with humans and other robots is an important skill that all robots part of a human/robot team should have. To achieve a natural interaction a robot needs to be aware of the intentions of the other agents in its environment, whether they are human or robots. A sensor network based on a group of mobile robots and multiple static sensors can be used not only to perceive cooperatively their static environment, but also to predict human and robot intentions. This prediction will provide state information for the multi-robot system decision-making to respond to the human intentions following human-aware policies. This thesis will fit that need by proposing novel human group intention prediction methods and consequent human-aware decision-making for robot groups.</div><div class=""><br class="">Candidates should have a master’s degree in Robotics and AI, Electrical/Information and Computer Engineering, Computer Science, or related areas. The research tasks require a good mathematical background, knowledge of probabilistic robotics and good programming skills. Previous experience with real robots and knowledge of machine learning are potential advantages.<br class=""><br class="">If you are interested in this position, please send your CV and a statement of purpose <b class="">until Sep 16, 2022 </b>to Prof. Pedro U. Lima <a href="mailto:pedro.lima@tecnico.ulisboa.pt" class="">pedro.lima@tecnico.ulisboa.pt</a></div><br class=""><div class="">Pedro Lima</div></div><div class=""><br class="">-- <br class="">Full Professor <br class="">Institute for Systems and Robotics,<br class="">Instituto Superior Técnico<br class="">Av. Rovisco Pais, 1<br class="">1049-001 Lisboa<br class="">Portugal<br class=""><br class="">Tel.: +351-218418274<br class=""><br class=""><a href="http://www.isr.tecnico.ulisboa.pt/~pal" class="">http://www.isr.tecnico.ulisboa.pt/~pal</a><br class=""><br class="">In theory, there is no difference between theory and practice<br class="">... but in practice, there is!<br class=""><br class="">but note: there’s nothing more practical than a good theory.<br class=""><br class=""><br class=""><br class=""><br class=""><br class=""><br class=""><br class=""></div><br class=""></body></html>