Week 4 – /Purdue CNIT 581 Spring 2022 Project – Update – April 7th

CNIT 581-SDR, Spring 2022.

Project: WS-Bot.

Ruiqi, Ola, and Yi.

Robot Navigation system

In the last update, we noticed the issue with the laptop and robot connection, and now we have successfully connected our laptop with Jackal via ROS(See Figure 1). What we did next was build and test our navigation system algorithm in a gazebo simulation environment.

Figure 1: Laptop and Jackal connection via ROS

On our laptop, we initiated an indoor environment and tested the Jackal robot.

Figure 2: Navigation system in a simulation environment

Computer vision

We started computer vision system data training with YOLOv5 model. And we are in the progress of training the model with the open-source dataset of the human image. As the picture listed in Figure 3 suggests, we achieved statistical accuracy of over 95%.

Figure 3: Computer vision training

Wearable sensor

The E4 is a medical-grade wearable device that offers real-time physiological data acquisition, enabling researchers to conduct in-depth analysis and visualization. Which helps in collecting physiological data relevant to the drug, healthcare, device, and algorithm development.

We are still waiting for the E4 wristband used in a user study. So far, we started to get familiar with its manager server and different version of SDK before we are able to connect with the hardware.

Figure 4: E4 manager server