Robotic grippers
With Actuation Mode Switching

A Joint-Selective Robotic Gripper
with Actuation Mode Switching

Concept Design System Requirements

High Payload Capacity –Grasping things of a weight comparable to a beer case. Grasping Force of 100N.

Differentiated Grasping Behaviour –   Moderate dexterity. Fully actuated System with many DOF.

Compact Actuation Unit for end effector design. Minimum size and number of motors.

ROBOT GRIPPERS

high accuracy and dexterity

High accuracy and dexterity with a very good grasping performance , high payload capacity of 70N, compact and lightweight actuation unit allows high relevance for industry applications and other mechanical robotic systems.

Concept design – technical requirements

State of the art.

High Payload Capacity = Large & heavy Actuators
Fully Actuated System with many DOF= High # Actuators (DOA)
Compactness + Light Weight

Roboy Project Requirements:

Tendon actuation
Actuation via electrical motors
3D printing and CAD-Modelling
Standard Components

Realization – finger design

Anatomical Purpose:

Grasping oriented functional design-maximization of the force of the hand

Strength to hold things up to 10 kg

An optimized range of movement (downscaling of the actual 20 DOF in the human hand ) for grasping

Different configurations of grasping (cylindrical, spherical, lateral) → realization of different ways of grasping 

Mechatronic Functionality:

Maximization of the “outcome force of the hand” (a distinction between intrinsic hand forces and hand-wrist force), while minimizing the number of actuators

The Concept –

Electromagnetic Joint Locking

Underactuated: # DOA < # DOF
DOA = 1Motor
Joint with electromagnetic Locking
Fully Actuated: # DOA = # DOF
DOA= 1Motor + Electromagnets

Testing phase

Hardware & Software

Software
Testing Phase – Verification
Testing Phase – Verification

Embodiment Design

kinematics

Differentiated Grasping Behavior for intermediate Forces

Grasp Taxonomie developed from Taxonomies by Feix u. a. (2016), Bullock u. a. (2013) and Katō (1987)

Test Results – Validation

FFP Index: Performance Test for Prehensile Tasks from (Sureshbabu, Metta, and Parmiggiani 2018)

LINKS

cad files, documentations & presentations

More info

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