Conception, réalisation et étude d'un esssaim de robots autonome protégeant un groupe de personnes munies de semelle intelligente

Ce projet porte sur le problème de la protection d'un convoi de personnes munies de semelle intelligente par un essaim de robots. De nos jours, il y a beaucoup de flux de population qui nécessite d'être protégés dans des zones à risques (familles syriennes, irakiennes...). L'essaim de robots est une solution qui permettrait de les protéger sans exposer d'autres personnes au danger. Celui-ci devra suivre le groupe de personnes et éviter toutes les perturbations externes dans le but de réduire les erreurs de positionnement des robots. La semelle intelligente portée par les gens, élaborée à partir de plusieurs capteurs, donnera les informations sur leur orientation et leur vitesse de marche. Les robots pourront être munis de capteurs de distance et de centrale inertielle afin de détecter les obstacles environnant et de se déplacer autour du groupe de personnes. Un drone fournira également des informations visuelles sur l'environnement autour des personnes. Le système est entièrement basé sur un réseau de modules WiFi (WBAN : Wireless Body Area Network) qui communiqueront toutes les données recueillies. Un serveur se chargera de collecter toutes les données reçues par les robots et les semelles. Celles-ci seront traitées par différents algorithmes qui dirigeront les robots de manière autonome autour des personnes

The Impact Of Human–Robot Multimodal Communication On Mental Workload, Usability Preference, And Expectations Of Robot Behavior

Multimodal communication between humans and autonomous robots is essential to enhance effectiveness of human–robot team performance in complex, novel environments, such as in military intelligence, surveillance, and reconnaissance operations in urban settings. It is imperative that a systematic approach be taken to evaluate the factors that each modality contributes to the user’s ability to perform successfully and safely. This paper addresses the effects of unidirectional speech and gesture methods of communication on perceived workload, usability preferences, and expectations of robot behavior while commanding a robot teammate to perform a spatial-navigation task. Each type of communication was performed alone or simultaneously. Results reveal that although the speech-alone condition elicited the lowest level of perceived workload, the usability preference and expectations of robot behavior after interacting through each communication condition was the same. Further, workload ratings between the gesture and speech-gesture conditions were similar indicating systems that employ gesture communication could also support speech communication with little to no additional subjectively perceived cognitive burden on the user. Findings also reveal that workload alone should not be used as a sole determining factor of communication preference during system and task evaluation and design. Additionally, perceived workload did not seem to negatively impact the level of expectations regarding the robot’s behavior. Recommendations for future human–robot communication evaluation are provided

Combining haptics and inertial motion capture to enhance remote control of a dual-arm robot

[EN] High dexterity is required in tasks in which there is contact between objects, such as surface conditioning (wiping, polishing, scuffing, sanding, etc.), specially when the location of the objects involved is unknown or highly inaccurate because they are moving, like a car body in automotive industry lines. These applications require the human adaptability and the robot accuracy. However, sharing the same workspace is not possible in most cases due to safety issues. Hence, a multi-modal teleoperation system combining haptics and an inertial motion capture system is introduced in this work. The human operator gets the sense of touch thanks to haptic feedback, whereas using the motion capture device allows more naturalistic movements. Visual feedback assistance is also introduced to enhance immersion. A Baxter dual-arm robot is used to offer more flexibility and manoeuvrability, allowing to perform two independent operations simultaneously. Several tests have been carried out to assess the proposed system. As it is shown by the experimental results, the task duration is reduced and the overall performance improves thanks to the proposed teleoperation method.This research was funded by Generalitat Valenciana (Grants GV/2021/074 and GV/2021/181) and by the SpanishGovernment (Grants PID2020-118071GB-I00 and PID2020-117421RBC21 funded by MCIN/AEI/10.13039/501100011033). This work was also supported byCoordenacao de Aperfeiaoamento de Pessoal de Nivel Superior (CAPES Brasil) under Finance Code 001, by CEFET-MG, and by a Royal Academy of Engineering Chair in Emerging Technologies to YD.Girbés-Juan, V.; Schettino, V.; Gracia Calandin, LI.; Solanes, JE.; Demiris, Y.; Tornero, J. (2022). Combining haptics and inertial motion capture to enhance remote control of a dual-arm robot. 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