DE VITO: A Dual-arm, High Degree-of-freedom, Lightweight, - - PowerPoint PPT Presentation

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DE VITO: A Dual-arm, High Degree-of-freedom, Lightweight, - - PowerPoint PPT Presentation

TAROS 2019 DE VITO Falck et al. TAROS 2019 July 3, 2019 DE VITO: A Dual-arm, High Degree-of-freedom, Lightweight, Inexpensive, Passive Upper-limb Exoskeleton for Robot Teleoperation Fabian Falck 1 , Kawin Larppichet 1 , Petar Kormushev


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DE VITO – Falck et al. – TAROS 2019

Fabian Falck1, Kawin Larppichet1, Petar Kormushev

DE VITO: A Dual-arm, High Degree-of-freedom, Lightweight, Inexpensive, Passive Upper-limb Exoskeleton for Robot Teleoperation

TAROS 2019 July 3, 2019

1 Equal contribution

Robot Intelligence Lab, Dyson School of Design Engineering, Imperial College London

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DE VITO – Falck et al. – TAROS 2019

Motivation

  • Major advances in autonomous robot

perception, planning and control in recent decades

  • Super-human hardware
  • Sensors (3D LIDAR, 360-degree vision)
  • Actuators (AC servo, hydraulic motor)
  • Yet, the vast majority of human tasks in

dynamic, unstructured environments far from being executed autonomously

  • à Teleoperation as a realistic,

complementary transition solution, combined with reliability and precision of autonomy vs. Vision (often) Reality

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DE VITO – Falck et al. – TAROS 2019

Exoskeletons – Related work

Figure 3: comparison of internal rotation measurement mechanism. Semi-circular guideway (top left) [4], Four-bars linkages (top right) ADDIN RW.CITE{{doc:5b9b02cde4b09ad10da468e0 EvanAckerman 2017}}[20], three none-90-degree linkage (bottom left)[21], offset linkage (bottom right)

  • Complicated design (large number
  • f (moving) parts) à high material

cost

  • Bulky, heavy design (> 10 kg)

Our work Key disadvantages of previous designs:

Semi-circular bearing Four-bar linkage Three non-90- degree linkage

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DE VITO – Falck et al. – TAROS 2019

DE VITO1 - Design

Figure 2: CAD model of the exoskeleton

  • Dual-arm upper-limb exoskeleton
  • 7 DOFs
  • Passive measurement
  • Light-weight (~5x lighter than

related work)

  • Simplistic (mostly 3D printed)
  • Energy-efficient
  • Total material cost (at least 10x

less than related work) Key features:

1 Design Engineering's Virtual Interface for TeleOperation

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DE VITO – Falck et al. – TAROS 2019

Human arm motion and coverage

6 5

Figure SEQ Figure \* ARABIC 1: Human arm motion ADDIN RW.CITE{{doc:5a94859ee4b06ab1c08d3613 [NoInformation] 2015}}[15]

3 1 4 2 7 +

  • +
  • +
  • +
  • +
  • +
  • +

Anatomic part Joint description and type Motion description Human arm RoM [deg.] Exoskeleton RoM [deg.] Coverage per- centage [%] Shoulder Glenohumeral joint (ball and socket joint) Flexion/Extension (158,53) (110,55) 78 Adduction/Abduction (0,170) (0,110) 64 Medial/Lateral rotation (70,90) (110,110) 100 Elbow Elbow joint (hinge joint) Flexion/Extension (146,0) (110,110) 75 Forearm Radioulnar joint (pivot joint) Pronation/Supination (71,84) (110,110) 100 Wrist Wrist joint (saddle joint) Flexion/Extension (73,71) (110,55) 88 Adduction/Abduction (33,19) (25,180) 100

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DE VITO – Falck et al. – TAROS 2019

Design variants and Singularities (right arm)

A B C

A Upper Arm forwards B Upper Arm outwards C Upper Arm downwards à “relaxed position” à chosen variant Singularity pose:

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DE VITO – Falck et al. – TAROS 2019

Chosen design specification

Z6 Z7 Z5 Z2 Z3 Z4 Z0,1

upper linkage lower linkage

X0,1

Index i ai αi di θi 1 θ1 2

π 2

θ2 3

π 2

0.37 θ3 4 − π

2

θ4 5

π 2

0.33 θ5 6 − π

2

−0.07 θ6 7

π 2

−0.07 θ7

  • Total weight: 3.2 kg
  • Weight of each arm: 0.85 kg
  • Total material cost: ~200 GBP
  • 3D printed joints and mounts
  • Carbon rod linkages
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DE VITO – Falck et al. – TAROS 2019

Lower arm and Nunchuk controller

Figure 5: Wrist joint design and end-effector controller

Open/close the gripper Emergency stop Fine manipulation (pitch and yaw) R L C C Z Z

Figure 12: buttons mapping of both right and left Nunchuk controller

Figure 5: Wrist joint design and end-effector controller

Open/close the gripper Emergency stop Fine manipulation (pitch and yaw) R L C C Z Z

Figure 12: buttons mapping of both right and left Nunchuk controller

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DE VITO – Falck et al. – TAROS 2019

Electronic components and communication

Circuit board body and wiring diagram:

  • Arduino mega
  • Potentiometers
  • ROS node for communication

between master and slave

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DE VITO – Falck et al. – TAROS 2019

Kinematic mapping algorithms

θslave

i

= θmaster

i

+ θoffset

i

1) Joint space one-to-one mapping: 2) Joint space scaled mapping:

θslave

i

= ci ∗ θmaster

i

+ θoffset

i

3) Cartesian space mapping:

P slave

end-effector = P master end-effector + doffset

Figure 11: Cartesian mapping example Horizontal gripping posture (top), Vertical gripping posture (bottom)

1 2

Two modes for arbitrary seventh DOF: Subsequent inverse kinematics solving

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DE VITO – Falck et al. – TAROS 2019

Qualitative experiments on Robot DE NIRO

Figure 14: Setup of the Brick stacking experiment

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DE VITO – Falck et al. – TAROS 2019

Conclusion and Future work

  • DE VITO, a dual-arm upper limb

exoskeleton teleoperating Robot DE NIRO on various manipulation tasks

  • Mechanical and electronics design,

kinematic mapping and experiments CAD models, documentation, code, videos at: http://www.imperial.ac.uk/robot-intelligence/robots/de_vito/

  • Refinement of kinematic

control algorithms

  • Further qualitative and

quantitative validation of design