Control of the Sit-To-Stand Transfer of a Biped Robotic Device for Postural Rehabilitation

被引:8
|
作者
Menga, Giuseppe [1 ]
Ghirardi, Marco [2 ]
机构
[1] Politecn Torino, Dept Control & Comp Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy
[2] Politecn Torino, Dept Management & Prod Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy
来源
ROBOTICS | 2019年 / 8卷 / 04期
关键词
exoskeleton; haptics; rehabilitation; postural control; postural balance; multi-chain dynamical systems; WALKING; LEG; GENERATION; SIMULATION; MOTION;
D O I
10.3390/robotics8040091
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper deals with the control of the sit-to-stand transfer of a biped robotic device (either an autonomous biped robot or a haptic assistive exoskeleton for postural rehabilitation). The control has been synthesized, instead of considering the physiology, analyzing the basic laws of dynamics. The transfer of a human from sitting on a chair to an erect posture is an interesting case study, because it treats biped balance in a two-phase dynamic setting, with an external force disturbance (the chair-pelvis contact) affecting the center of pressure under the feet. At the beginning, a body is sitting, with a fixed pelvis moving with the hips going toward the supporting feet and, contemporaneously, releasing the load from the chair with ankles and knee torques. Then, after lift-off, it reaches and maintains an erect posture. The paper objectives are threefold: identifying the major dynamical determinants of the exercise; sythesizing an automatic control for an autonomous device; proposing an innovative approach for the rehabilitation process with an exoskeleton. For this last objective, the paper extends the idea of the authors of a haptic exoskeleton for rehabilitation. It is driven to control the joints by electromiographical signals from the patient. The two spaces, cartesian (world) and joint, where, respectively, the automatic control and the patient operate, are considered and a technique to blend the two actions is proposed. The exoskeleton is programed to perform the exercise autonomously. Then, during the evolution of the phases of rehabilitation, we postulated to seamlessly move the control from one space (purely autonomous) to another (completely driven by the patient), choosing and keeping the postural tasks and joints (heaps, knees, or ankles) on which to apply each one of the two actions without interaction.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Pathological sit-to-stand models for control of a rehabilitation robotic device
    Saint-Bauzel, Ludovic
    Pasqui, Viviane
    Gas, Bruno
    Zarader, Jean-Luc
    [J]. 2007 IEEE 10TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2007, : 347 - 355
  • [2] Pathological sit-to-stand predictive models for control of a rehabilitation robotic device
    Saint-Bauzel, Ludovic
    Pasqui, Viviane
    Gas, Bruno
    Zarader, Jean-Luc
    [J]. 2007 RO-MAN: 16TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1-3, 2007, : 1166 - +
  • [3] Biologically inspired modular structure to control the sit-to-stand transfer of a biped robot
    Andani, M. Emadi
    Babrami, F.
    Maralani, P. Jabedar
    [J]. 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 3016 - +
  • [4] BALANCE CONTROL IN SIT-TO-STAND TRANSFER
    PAI, YC
    ROGERS, MW
    [J]. PHYSICAL THERAPY, 1988, 68 (05): : 863 - 863
  • [5] Reactive Postural Control During Sit-to-Stand Motion
    Luna, Tatiana D.
    Santamaria, Victor
    Ai, Xupeng
    Agrawal, Sunil K.
    [J]. 2022 9TH IEEE RAS/EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB 2022), 2022,
  • [6] Reactive Postural Control During Sit-to-Stand Motion
    Luna, Tatiana D.
    Santamaria, Victor
    Ai, Xupeng
    Agrawal, Sunil K.
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (03): : 7185 - 7192
  • [7] A Semi-Wearable Robotic Device for Sit-to-Stand Assistance
    Zheng, Hao
    Shen, Tao
    Afsar, Md Rayhan
    Kang, Inseung
    Young, Aaron J.
    Shen, Xiangrong
    [J]. 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2019, : 204 - 209
  • [8] Physiological LQR Design for Postural Control Coordination of Sit-to-Stand Movement
    Mughal, Asif Mahmood
    Iqbal, Kamran
    [J]. COGNITIVE COMPUTATION, 2012, 4 (04) : 549 - 562
  • [9] Physiological LQR Design for Postural Control Coordination of Sit-to-Stand Movement
    Asif Mahmood Mughal
    Kamran Iqbal
    [J]. Cognitive Computation, 2012, 4 : 549 - 562
  • [10] Design and control of mechanical structures for sit-to-stand rehabilitation training
    Liu, Kun
    Ye, Ming
    Yan, Pengfei
    Li, Chao
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 931 - 936