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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/2291

Title: Human-robot teamwork: a knowledge-based solution
Authors: Salgueiro, Mário Jorge Rodrigues da Silva Nunes
Advisor: Barata, José
Issue Date: 2009
Publisher: FCT - UNL
Abstract: Teams of humans and robots pose new challenges to the teamwork field. This stems from the fact that robots and humans have significantly different perceptual, reasoning, communication and actuation capabilities. This dissertation contributes to solving this problem by proposing a knowledge-based multi-agent system to support design and execution of stereotyped (i.e. recurring) human-robot teamwork. The cooperative workflow formalism has been selected to specify team plans, and adapted to allow activities to share structured data, even during their execution. This novel functionality enables tightly coupled interactions among team members. Rather than focusing on automatic teamwork planning, this dissertation proposes a complementary and intuitive knowledge-based solution for fast deployment and adaptation of small scale human-robot teams. In addition, the system has been designed in order to improve task awareness of each mission participant, and of the human overall mission awareness. A set of empirical results obtained from simulated and real missions proved the concept and the reusability of such a system. Practical results showed that this approach used is an effective solution for small scale teams in stereotyped human-robot teamwork.
Description: Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores
URI: http://hdl.handle.net/10362/2291
Appears in Collections:FCT: DEE - Dissertações de Mestrado

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