Desvio de obstáculos móveis em andador inteligente por meio das técnicas de desvio de ponto crítico e campos potenciais

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Souza, Franco Vieira de
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Espírito Santo
BR
Mestrado em Engenharia Elétrica
Centro Tecnológico
UFES
Programa de Pós-Graduação em Engenharia Elétrica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufes.br/handle/10/10703
Resumo: Smart walkers are assistive devices that employ robotics and electronics in order to expand and enhance the functions that can be performed by traditional orthopedic walkers. One of the most relevant functions of smart walkers is navigations assistance, which includes tasks as path planning and obstacle avoidance. These functions can be useful to people that suffer from vision or cognitive disabilities along with mobility disabilities. This master’s thesis proposes and validates a moving obstacle avoidance technique for smart walkers that intends to improve the way these walkers assist the user’s navigation in environments that are simultaneously being used by other people. The proposed technique – critical point avoidance – attempts to mimic the way pedestrians negotiate space in a corridor by trying to avoid moving obstacles that are in a collision course with the walker in advance, while ignoring obstacles that should not result in a collision. The critical point avoidance technique can be combined with the potential fields technique, which has been shown to perform well when dealing with static obstacles and is also used for obstacle avoidance in smart walkers. The combination of both techniques is an attempt at producing a strategy that is able to better cope with moving and static obstacles. The proposed strategy was validated by comparing, in a simulated smart walker, the classic potential fields strategy to a combination of the critical point avoidance and potential fields techniques. As expected, when simulating a moving object in a corridor, the proposed strategy produced an avoidance action that happens in advance, resulting in weaker avoidance forces and a greater minimum distance to the obstacle.