From: Upper limb soft robotic wearable devices: a systematic review
Scenario | DOF | Low-level Control | High-level Control | TRL | Year and Related Works |
---|---|---|---|---|---|
R | 1, S: abd/add | Position | – | 4 | |
R | 1, E: flex/ext | - | – | 3 | 2015 [54] |
A | 3, S: abd/add and flex/ext, E: flex/ext | Position | Mirroring the healthy limb | 5 | 2017 [62] |
R/A | 7, S: humeral rot, abd/add, flex/ext, E: flex/ext, FA: pron/sup, wrist flex/ext and radial/ulnar dev | Position | Pre-determined joints trajectory | 5 | |
R | 3, S: abd/add, flex/ext E: flex/ext | Speed | – | 4 | 2018 [34] |
A | 1, E: flex/ext | Force | Arm dynamics compensation | 4 | 2018 [60] |
R | 5, S: humeral rot, abd/add and flex/ext, E: flex/ext, FA: pron/sup | Position | Joystick or mirroring the healthy limb | 6/7 | |
A | 1, W: Dart throwing motion | Force | EMG-trigger | 5 | 2019 [48] |
A | 2, E: flex/ext, FA: pron/sup | Position | – | 4 | 2019 [92] |
R | 2, S: flex/ext, E: flex/ext | Position | Pre-determined joints trajectory | 5 | 2019 [93] |
R | 1, E: flex/ext | Torque | Smartphone app. trigger | 3 | 2019 [66] |
R | 1, E: flex/ext | Admittance | EMG-based neural-network torque estimation | 5 | |
R/A/I | 1, E: flex/ext | Admittance | IMU-based gravity compensation or EMG-based torque estimation | 5/6 | |
I | 2: bimanual lifting | Force | EMG trigger | 5/6 | |
I | 4, S: elev, E: flex, bilateral | Position | Voice recognition | 5/6 | |
I | 1, E: flex/ext | - | – | 3 | 2020 [59] |
R | 1,W: flex/ext, ulnar/radial dev | Position | Pre-determined joints trajectory | 6 | 2020 [104] |
- | 2, S: elev, E: flex/ext | Position | Pre-determined joints trajectory | 5/6 | |
A | 1, S: elev coupled with hum rot | Admittance | Gravity compensation | 5 | 2020 [33] |
R | 1, E: flex/ext | Motion | - | 4 | 2020 [107] |