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JAVIER REYNA

Happy. Engineer. Designer.

  • Products on the Market
  • Research and Other Work
  • About

The Vine Robot


You can find our most recent published paper here!

It covers our participation in RoboSoft 2018 and design for deployment of the robot

at underground tunnels in an archaeological site in Chavin, Peru last summer 2018.

RoboSoft 2018: IEEE-RAS International Conference on Soft Robotics

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Images from RoboSoft 2018 Competition Recap (robosoft2018.org)

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Redesigned the previous vine robot prototype and built a motorized version of the pre-formed vine robot for competing at RoboSoft 2018 (images from performance at the event shown above). In preparation for this, I built a replica of the 9-meter obstacle course, composed of:

  1. a sand pit

  2. a small gap sized smaller than the diameter of the end effector

  3. three steps

  4. unstable obstacles

Successfully completing the obstacle course at RoboSoft 2018, the vine robot won third place in the soft robot locomotion category.

 

VineRobots.org: A Basic Introduction to What is a Vine Robot and How to Build One

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Vine Robots Website

Designed and built an educational website for the Vine Robot Research Project to:

  1. showcase research and case studies relating the vine robot

  2. provide an easily accessible platform for learning about vine robots

  3. offer instruction on how to make a vine robot

This involved redesigning portions of the robot used during the RoboSoft 2018 conference to allow for ease of construction, decreased material cost, and modularity in order to make the technology more accessible to others. As part of CHARM Lab, I provide visitors with an introduction to the design of vine robots, how to build one, research publications for educational use, and case studies. The “How to Build One” sections contain a bill of materials (and where to obtain them), building instructions, CAD files for 3D printing, and Arduino code for operating the robot. This is meant to quick-start interested users, whether they only want to learn and build the 1-minute version or a fully operational pre-formed vine robot. Research publications and case studies give insight into current work and the details of research from the collaborating parties.


Stroke Patient Rehabilitation Exoskeleton

 
 

Overview

Parts were created via laser cutting, 3D printing, or purchased from Actobotics

Parts were created via laser cutting, 3D printing, or purchased from Actobotics

The exoskeleton arm is a 2-degree-of-freedom (DOF) haptic device capable of planar movement with the following specs:

  • 2-DOF Actuation

  • 2 Motor-mounted Encoders

  • 2 Joint Encoders

  • Pinion and Belt Drive

  • Low-Friction Joints

  • 2 Maxon Motors

Background

Parts and assembly for rehabilitation device were designed in SolidWorks

Parts and assembly for rehabilitation device were designed in SolidWorks

Stroke is the main cause of adult disability and it occurs when blood flow to the brain is interrupted. The loss of blood flow to areas of the brain prevent those cells from getting the oxygen they need to function. These cells die, impairing the abilities that they control. A common ability that is lost is a patient’s sense of proprioception. Proprioception allows us to pinpoint the location of our limbs in space; it is the sense central to controlling movements. Although proprioception has been studied, there is no quantitative relationship between proprioceptive and motor impairments. If we could identify such a relationship, we would be able to devise a more individualized way to rehabilitate stroke survivors. This task requires the design, construction, and programming of an exoskeleton robot.

 

Proposed Experiment

1. Position Matching:                                                                             Overlap cursor with a randomly generated red  target within a set time.

2. Provide no visual feedback so that subjects rely only on proprioception

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Exoskeleton Details

  • Adjustable height, linkage lengths, and arm supports

  • Ambidextrous design with a range of motion approximately 120 at the shoulder and 180 at the elbow

  • 3D-printed, customizable and support/end-effector

  • Mobile base for portability and simple attachment to arm

  • Tensioning system for belts

 

Software:

Control:

  • Interfaced with the exoskeleton via Sensory826 PCIe board and Chai3d haptics libraries

  • Programmed in C++ using Microsoft Visual Studio

  • Positions mapped via forward/inverse kinematics

Graphics Interface:

  • Created using Chai3d visualization libraries

  • Mapped so that the physical and virtual position of the exoskeleton coincide

 

 
 
Rehabilitation Exoskeleton Poster PDF