基于CAN的仿人机器人控制器的设计与实现

本文针对仿人机器人的结构和控制性能的要求,设计并实现了基于CAN的关节控制器,并利用CAN把各个关节和力传感器及上位机连接在一起,构成了有效可靠的控制系统。主要包括仿人机器人的总体结构、控制器的硬件与软件的设计实现、控制系统的拓扑结构等,并提出了一些设想以提高系统的性能。

精密1号装配机器人控制系统的体系结构

介绍了精密1号装配机器人控制系统体系结构的设计与实现。精密1号机器人是国家863计划智能机器人主题立项研制的一台SCARA结构的4轴装配机器人型号样机。它采用直接驱动技术，具有较高的运动速度和定位精度，配有高性能的视觉和力觉传感器，控制系统以Intel公司的iSBC386／12系列计算机和iRMXⅢ实时多任务操作系统为基础，采用上、下两级分布式计算机结构。控制系统除具有一般的机器人控制器的功能外，还具有用户多任务编程、可基于视觉和力觉传感器信息控制、离线编程和图形动画仿真等特性。

Of Mice and Men: An Ergonomic and Market Assessment of Current Computer Mice

Gemstone Team MICE (Modifying and Improving Computer Ergonomics)

Traveled Distance Estimation Algorithm for Indoor Localization

This paper presents an ankle mounted Inertial Navigation System (INS) used to estimate the distance traveled by a pedestrian. This distance is estimated by the number of steps given by the user. The proposed method is based on force sensors to enhance the results obtained from an INS. Experimental results have shown that, depending on the step frequency, the traveled distance error varies between 2.7% and 5.6%.

Localization system for pedestrians based on sensor and information fusion

Nowadays there is an increase of location-aware mobile applications. However, these applications only retrieve location with a mobile device's GPS chip. This means that in indoor or in more dense environments these applications don't work properly. To provide location information everywhere a pedestrian Inertial Navigation System (INS) is typically used, but these systems can have a large estimation error since, in order to turn the system wearable, they use low-cost and low-power sensors. In this work a pedestrian INS is proposed, where force sensors were included to combine with the accelerometer data in order to have a better detection of the stance phase of the human gait cycle, which leads to improvements in location estimation. Besides sensor fusion an information fusion architecture is proposed, based on the information from GPS and several inertial units placed on the pedestrian body, that will be used to learn the pedestrian gait behavior to correct, in real-time, the inertial sensors errors, thus improving location estimation.

Estratégia de avaliação do risco de lesões músculo-esqueléticas de membros superiores ligadas ao trabalho aplicada na indústria de abate e desmancha de carne em P

RESUMO - Objectivo: As lesões músculo-esqueléticas ligadas ao trabalho (LMELT) são doenças profissionais frequentes. Neste estudo ensaiou-se uma estratégia de diagnóstico do risco e de vigilância da saúde dos trabalhadores numa empresa de abate e desmancha de carne. Métodos: Utilizou-se uma estratégia de obtenção de informação em todos os postos de trabalho e trabalhadores da empresa. Utilizaram-se: (i) adaptação do Questionário Nórdico Músculo-Esquelético, incluindo caracterização da exposição biomecânica; (ii) protocolo de avaliação clínica de LMELT; (iii) filtro RSI e método Strain Index; (iv) instrumentação, como electrogoniometria e sensores de força em postos de risco elevado. Resultados: Identificou-se a presença de sintomas e sinais de LMELT principalmente nos punhos/mãos (n=27) e região lombo-sagrada (n=32), uma importante prevalência de casos relacionados com a actividade de trabalho (30%) e níveis de risco elevados com base nas classificações do Strain Index (n=26 MSDto e n=7 MSEsq). A utilização da instrumentação permitiu obter detalhes da repetitividade, das posturas e dos momentos de aplicação de força, úteis para a intervenção. Conclusões: A prevenção só é possível através da aplicação de programas/estratégias integradas de diagnóstico e gestão do risco de LMELT que sejam eficazes no sentido da intervenção sobre a actividade e as condições de trabalho.--------------------------ABSTRACT – Background: Work-related Musculoskeletal Disorders (WRMSD) are common occupational diseases. The present study aims at examining an integrated perspective of risk assessment and health surveillance at a meatpacking plant. Methods: The strategy adopted was of obtaining information about WRMSDs awareness at all workstations and from all their workers. This was based on: (i) questionnaire application - an adaptation of the Nordic musculoskeletal questionnaire, including a biomechanical item, (ii) WRMSDs clinical protocol (iii) RSI risk filter and Strain Index application, (iv) instrumentation with electrogoniometry and force sensors at previously classified as high risk workstations. Results: WRMSDs signs and symptoms mainly in wrist/hands (n=27) and in lumbar region (n=32) were identified. Results revealed an important prevalence of WRULMSDs associated to meatpacking industry activities (30%) and high risk scores based on Strain Index (n=26 Right UL; n=7 Left UL). Instrumentation showed details of recurrency, of postures and of force, which can be used for intervention. Conclusions: It’s necessary to develop ergonomic strategies and approaches on WRMSDs prevention (risk assessment and manage

Evaluation of sensor configurations for robotic surgical instruments

Designing surgical instruments for robotic-assisted minimally-invasive surgery (RAMIS) is challenging due to constraints on the number and type of sensors imposed by considerations such as space or the need for sterilization. A new method for evaluating the usability of virtual teleoperated surgical instruments based on virtual sensors is presented. This method uses virtual prototyping of the surgical instrument with a dual physical interaction, which allows testing of different sensor configurations in a real environment. Moreover, the proposed approach has been applied to the evaluation of prototypes of a two-finger grasper for lump detection by remote pinching. In this example, the usability of a set of five different sensor configurations, with a different number of force sensors, is evaluated in terms of quantitative and qualitative measures in clinical experiments with 23 volunteers. As a result, the smallest number of force sensors needed in the surgical instrument that ensures the usability of the device can be determined. The details of the experimental setup are also included.

Dinamômetro biomédico para avaliação funcional das mãos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Implementação de um sistema para geração e avaliação de movimentos em pacientes hemiplégicos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Measurement of the rotational inertia of bodies by using mechanical spectroscopy

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Controle ativo de estruturas reticuladas utilizando atuadores de pilha de pzt

Pós-graduação em Engenharia Mecânica - FEIS

Adaptação e instrumentação de um esqui ergométrico para pessoas com deficiência motora dos membros inferiores

Pós-graduação em Engenharia Elétrica - FEIS

The influence of handrim design on the contact forces on hands'surface: a preliminary study

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Improving backdrivability in geared rehabilitation robots

Many rehabilitation robots use electric motors with gears. The backdrivability of geared drives is poor due to friction. While it is common practice to use velocity measurements to compensate for kinetic friction, breakaway friction usually cannot be compensated for without the use of an additional force sensor that directly measures the interaction force between the human and the robot. Therefore, in robots without force sensors, subjects must overcome a large breakaway torque to initiate user-driven movements, which are important for motor learning. In this technical note, a new methodology to compensate for both kinetic and breakaway friction is presented. The basic strategy is to take advantage of the fact that, for rehabilitation exercises, the direction of the desired motion is often known. By applying the new method to three implementation examples, including drives with gear reduction ratios 100-435, the peak breakaway torque could be reduced by 60-80%.

ARMin - robot for rehabilitation of the upper extremities

Task-oriented repetitive movements can improve motor recovery in patients with neurological or orthopaedic lesions. The application of robotics can serve to assist, enhance, evaluate, and document neurological and orthopaedic rehabilitation. ARMin is a new robot for arm therapy applicable to the training of activities of daily living in clinics. ARMin has a semiexoskeletal structure with six degrees of freedom, and is equipped with position and force sensors. The mechanical structure, the actuators and the sensors of the robot are optimized for patient-cooperative control strategies based on impedance and admittance architectures. This paper describes the mechanical structure, the control system, the sensors and actuators, safety aspects and results of a first pilot study with hemiplegic and spinal cord injured subjects.