Pesquisadores do MIT projetam um roba´ que tem um truque ou dois na manga.
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)
O roba´ visto aqui não pode ver o braa§o humano durante todo o processo de curativo, mas consegue colocar uma manga de jaqueta com sucesso no braa§o. Créditos: Foto cortesia do MIT CSAIL.
Os robôs já são adeptos de certas coisas, como levantar objetos muito pesados ​​ou complicados para as pessoas gerenciarem. Outra aplicação para a qual eles são adequados éa montagem precisa de itens como rela³gios que tem um grande número de pea§as minaºsculas osalgumas tão pequenas que mal podem ser vistas a olho nu.
“Muito mais difaceis são as tarefas que exigem consciência situacional, envolvendo adaptações quase instanta¢neas a smudanças nas circunsta¢ncias do ambienteâ€, explica Theodoros Stouraitis, cientista visitante do Grupo de Roba³tica Interativa do Laborata³rio de Ciência da Computação e Inteligaªncia Artificial (CSAIL) do MIT.
“As coisas se tornam ainda mais complicadas quando um roba´ precisa interagir com um humano e trabalhar em conjunto para concluir uma tarefa com segurança e sucessoâ€, acrescenta Shen Li, candidato a doutorado no Departamento de Aerona¡utica e Astrona¡utica do MIT.
Li e Stouraitis - juntamente com Michael Gienger do Honda Research Institute Europe, o professor Sethu Vijayakumar da Universidade de Edimburgo e a professora Julie A. Shah do MIT, que dirige o Interactive Robotics Group - selecionaram um problema que oferece, literalmente, uma sanãrie de desafios: projetar um roba´ que possa ajudar as pessoas a se vestirem. No ano passado, Li e Shah e dois outros pesquisadores do MIT completaram um projeto envolvendo curativo assistido por roba´ sem mangas. Em um novo trabalho, descrito em um artigo que aparece em uma edição de abril de 2022 da IEEE Robotics and Automation, Li, Stouraitis, Gienger, Vijayakumar e Shah explicam o progresso que fizeram em um problema mais exigente - curativo assistido por roba´ com roupas de manga .
A grande diferença neste último caso se deve a “oclusão visualâ€, diz Li. “O roba´ não pode ver o braa§o humano durante todo o processo de curativo.†Em particular, nem sempre pode ver o cotovelo ou determinar sua posição ou orientação precisa. Isso, por sua vez, afeta a quantidade de força que o roba´ precisa aplicar para puxar a pea§a de roupa oscomo uma camisa de manga comprida osda ma£o para o ombro.
Para lidar com a questãoda visão obstruada, a equipe desenvolveu um “algoritmo de estimativa de estado†que permite que eles fazm suposições razoavelmente precisas sobre onde, a qualquer momento, o cotovelo estãoe como o braa§o estãoinclinado osse éestendido para fora ou dobrado no cotovelo, apontando para cima, para baixo ou para os lados - mesmo quando estãocompletamente obscurecido pela roupa. Em cada insta¢ncia de tempo, o algoritmo usa a medida do roba´ da força aplicada ao tecido como entrada e, em seguida, estima a posição do cotovelo osnão exatamente, mas colocando-o dentro de uma caixa ou volume que engloba todas as posições possaveis.Â
Esse conhecimento, por sua vez, diz ao roba´ como se mover, diz Sturaitis. “Se o braa§o estiver reto, o roba´ seguira¡ uma linha reta; se o braa§o estiver dobrado, o roba´ tera¡ que se curvar ao redor do cotovelo.†Obter uma imagem confia¡vel éimportante, acrescenta. “Se a estimativa do cotovelo estiver errada, o roba´ pode decidir sobre um movimento que criaria uma força excessiva e insegura.â€Â
O algoritmo inclui um modelo dina¢mico que prevaª como o braa§o se movera¡ no futuro, e cada previsão écorrigida por uma medição da força que estãosendo exercida no tecido em um determinado momento. Enquanto outros pesquisadores fizeram previsaµes de estimativas de estado desse tipo, o que distingue esse novo trabalho éque os pesquisadores do MIT e seus parceiros podem definir um limite superior claro para a incerteza e garantir que o cotovelo esteja em algum lugar dentro de uma caixa prescrita. Â
O modelo para prever os movimentos do braa§o e a posição do cotovelo e o modelo para medir a força aplicada pelo roba´ incorporam técnicas de aprendizado de ma¡quina. Os dados usados ​​para treinar os sistemas de aprendizado de ma¡quina foram obtidos de pessoas vestindo trajes “Xsens†com sensores embutidos que rastreiam e registram com precisão os movimentos do corpo. Depois que o roba´ foi treinado, ele foi capaz de inferir a pose do cotovelo ao colocar uma jaqueta em um sujeito humano, um homem que moveu o braa§o de várias maneiras durante o procedimento - a s vezes em resposta ao puxa£o do roba´ na jaqueta e a s vezes se envolvendo em movimentos aleata³rios de sua própria vontade.
Este trabalho foi estritamente focado na estimativa - determinar a localização do cotovelo e do braa§o com a maior precisão possível - mas a equipe de Shah já passou para a próxima fase: desenvolver um roba´ que possa ajustar continuamente seus movimentos em resposta amudanças no orientação do braa§o e cotovelo.Â
No futuro, eles planejam abordar a questãoda “personalização†osdesenvolver um roba´ que possa explicar as maneiras idiossincra¡ticas pelas quais diferentes pessoas se movem. Na mesma linha, eles imaginam robôs versa¡teis o suficiente para trabalhar com uma gama diversificada de materiais de tecido, cada um dos quais pode responder de maneira um pouco diferente ao puxar.
Embora os pesquisadores deste grupo estejam definitivamente interessados ​​em curativos assistidos por roba´, eles reconhecem o potencial da tecnologia para uma utilidade muito mais ampla. “Na³s não especializamos esse algoritmo de forma alguma para fazaª-lo funcionar apenas para vestir robôsâ€, observa Li. “Nosso algoritmo resolve o problema geral de estimativa de estado e, portanto, pode se prestar a muitas aplicações possaveis. A chave para tudo isso éter a capacidade de adivinhar ou antecipar o estado não observa¡velâ€. Tal algoritmo poderia, por exemplo, guiar um roba´ a reconhecer as intenções de seu parceiro humano enquanto trabalha colaborativamente para mover blocos de maneira ordenada ou arrumar uma mesa de jantar.Â
Aqui estãoum cena¡rio concebavel para um futuro não muito distante: um roba´ pode colocar a mesa para o jantar e talvez atélimpar os blocos que seu filho deixou no cha£o da sala de jantar, empilhando-os ordenadamente no canto da sala. Isso pode ajuda¡-lo a vestir seu smoking para ficar mais apresenta¡vel antes da refeição. Pode atélevar as travessas para a mesa e servir porções adequadas aos comensais. Uma coisa que o roba´ não faria seria comer toda a comida antes que vocêe os outros cheguem a mesa. Felizmente, esse éum “aplicativo†oscomo aplicação em vez de apetite osque não estãona prancheta.
Esta pesquisa foi apoiada pelo Escrita³rio de Pesquisa Naval dos EUA, o Instituto Alan Turing e o Instituto de Pesquisa Honda da Europa.