Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Wessling, Germany.
Biomed Phys Eng Express. 2021 Dec 16;8(1). doi: 10.1088/2057-1976/ac3881.
Bimanual humanoid platforms for home assistance are nowadays available, both as academic prototypes and commercially. Although they are usually thought of as daily helpers for non-disabled users, their ability to move around, together with their dexterity, makes them ideal assistive devices for upper-limb disabled persons, too. Indeed, teleoperating a bimanual robotic platform via muscle activation could revolutionize the way stroke survivors, amputees and patients with spinal injuries solve their daily home chores. Moreover, with respect to direct prosthetic control, teleoperation has the advantage of freeing the user from the burden of the prosthesis itself, overpassing several limitations regarding size, weight, or integration, and thus enables a much higher level of functionality.In this study, nine participants, two of whom suffer from severe upper-limb disabilities, teleoperated a humanoid assistive platform, performing complex bimanual tasks requiring high precision and bilateral arm/hand coordination, simulating home/office chores. A wearable body posture tracker was used for position control of the robotic torso and arms, while interactive machine learning applied to electromyography of the forearms helped the robot to build an increasingly accurate model of the participant's intent over time.All participants, irrespective of their disability, were uniformly able to perform the demanded tasks. Completion times, subjective evaluation scores, as well as energy- and time- efficiency show improvement over time on short and long term.This is the first time a hybrid setup, involving myoeletric and inertial measurements, is used by disabled people to teleoperate a bimanual humanoid robot. The proposed setup, taking advantage of interactive machine learning, is simple, non-invasive, and offers a new assistive solution for disabled people in their home environment. Additionnally, it has the potential of being used in several other applications in which fine humanoid robot control is required.
现在,有双手臂的仿人机器人平台可用于家庭辅助,无论是学术原型还是商业产品都有。虽然它们通常被认为是为非残疾用户提供的日常助手,但它们的移动能力和灵活性使它们也成为上肢残疾人士的理想辅助设备。实际上,通过肌肉激活来远程操作双臂机器人平台可能会彻底改变中风幸存者、截肢者和脊髓损伤患者解决日常家务的方式。此外,与直接假肢控制相比,遥操作具有使患者摆脱假肢本身负担的优势,克服了尺寸、重量或集成方面的许多限制,从而实现了更高水平的功能。
在这项研究中,九名参与者(其中两名患有严重的上肢残疾)远程操作了一个仿人辅助平台,执行需要高精度和双臂/手部协调的复杂双臂任务,模拟家庭/办公室的家务。使用可穿戴式身体姿势跟踪器来控制机器人躯干和手臂的位置,而应用于前臂肌电图的交互式机器学习则帮助机器人随着时间的推移,建立参与者意图的越来越准确的模型。所有参与者,无论残疾程度如何,都能够均匀地完成要求的任务。完成时间、主观评估分数以及短期和长期的能量和时间效率均显示出随着时间的推移而提高。
这是第一次使用混合设置(涉及肌电和惯性测量),让残疾人远程操作双臂仿人机器人。所提出的设置利用交互式机器学习,简单、非侵入性,并为残疾人在家庭环境中提供了新的辅助解决方案。此外,它还有可能在其他需要精细人形机器人控制的应用中使用。