Development of a Novel Impedance-Controlled Quasi-Direct-Drive Robot Hand

08/21/2023
by   Jay Best, et al.
0

Most robotic hands and grippers rely on actuators with large gearboxes and force sensors for controlling gripping force. However, this might not be ideal for tasks which require the robot to interact with an unstructured and/or unknown environment. We propose a novel quasi-direct-drive two-fingered robotic hand with variable impedance control in the joint space and Cartesian space. The hand has a total of four degrees of freedom, a backdrivable gear train, and four brushless direct current (BLDC) motors. Field-Oriented Control (FOC) with current sensing is used to control motor torques. Variable impedance control allows the hand to perform dexterous manipulation tasks while being safe during human-robot interaction. The quasi-direct-drive actuators enable the fingers to handle contact with the environment without the need for complicated tactile or force sensors. A majority 3D printed assembly makes this a low-cost research platform built with affordable off-the-shelf components. The hand demonstrates grasping with force-closure and form-closure, stable grasps in response to disturbances, tasks exploiting contact with the environment, simple in-hand manipulation, and a light touch for handling fragile objects.

READ FULL TEXT

page 2

page 14

page 15

page 24

page 31

page 37

page 40

page 41

research
04/08/2019

Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation

Robots must cost less and be force-controlled to enable widespread, safe...
research
12/07/2022

Reacting to Contact: Transparency and Collision Reflex in Actuation

In unstructured environments, robots run the risk of unexpected collisio...
research
08/03/2022

Learning Fast and Precise Pixel-to-Torque Control

In the field, robots often need to operate in unknown and unstructured e...
research
09/12/2018

A Hand Combining Two Simple Grippers to Pick up and Arrange Objects for Assembly

This paper proposes a novel robotic hand design for assembly tasks. The ...
research
05/06/2011

Self-organized adaptation of a simple neural circuit enables complex robot behaviour

Controlling sensori-motor systems in higher animals or complex robots is...
research
05/10/2019

Stanford Doggo: An Open-Source, Quasi-Direct-Drive Quadruped

This paper presents Stanford Doggo, a quasi-direct-drive quadruped capab...
research
10/29/2021

Contact Transfer: A Direct, User-Driven Method for Human to Robot Transfer of Grasps and Manipulations

We present a novel method for the direct transfer of grasps and manipula...

Please sign up or login with your details

Forgot password? Click here to reset