Project

# Title Team Members TA Documents Sponsor
27 Supernumerary Robotic Limbs
Haotian Jiang
Xuekun Zhang
Yichi Zhang
Yushi Chen
design_document1.pdf
design_document2.pdf
proposal1.pdf
proposal2.pdf
Liangjing Yang
# TEAM MEMBERS
Haotian Jiang (hj24)
Yushi Chen
Yichi Zhang
Xuekun Zhang(xuekunz2)

# PROBLEM
Supernumerary Robotic Limbs (SRLs) have emerged as a fascinating advancement in the field of robotics, offering the potential to augment human capabilities by providing additional robotic limbs. However, a significant current problem plaguing the implementation of SRLs revolves around integration challenges. The seamless coordination between these robotic limbs and the user's natural limbs remains a complex issue. Achieving intuitive and synchronized control over the supernumerary limbs, ensuring they move in harmony with the user's intended actions, poses a considerable technological hurdle. Additionally, the current state of SRLs faces limitations in adaptability to various tasks and environments, hindering their practicality.

# SOLUTION OVERVIEW
1. Seamless Coordination and Control: One of the main challenges is achieving intuitive and synchronized control between SRLs and the user's natural limbs. This requires advanced sensor technologies and algorithms capable of interpreting human intent and translating it into precise robotic movement.

Solution Ideas:
Advanced Sensory Feedback: Implementing a sophisticated sensory feedback system that can accurately detect and interpret the user's movements and intentions. This could involve a combination of technologies like electromyography (EMG) to read muscle signals, motion sensors, and perhaps even neural interfaces. Machine Learning Algorithms: Developing algorithms capable of learning and adapting to the user's movement patterns. Machine learning can help in predicting and synchronizing the movements of the robotic limbs with the user's natural limbs. Haptic Feedback: Integrating haptic feedback into the SRL system can provide the user with tactile information about the limb's position and the forces it encounters, enhancing control.

2. Adaptability to Various Tasks and Environments: SRLs need to be versatile enough to perform a wide range of tasks in different environments, which is a challenging aspect of their design and functionality.

Solution Ideas:
Modular Design: Creating a modular SRL system where different types of limbs or tools can be attached and detached as needed could provide the versatility required for different tasks. Environment Sensing and Adaptation: Incorporating sensors that allow the SRL to understand and adapt to different environments. This could involve visual recognition systems, lidar for spatial awareness, or other environmental sensors. User-Defined Customization: Allowing users to customize the settings and behavior of the SRLs for specific tasks could enhance their practicality in various scenarios.

3. User Training and Interface Design: Another critical aspect is how users interact with and control the SRLs. The learning curve and ease of use are important for wide adoption.
Solution Ideas:
Intuitive User Interfaces: Designing user interfaces that are intuitive and easy to learn can significantly enhance the user experience. This could involve gesture-based controls, voice commands, or even direct brain-computer interfaces for more advanced implementations. Simulation and Training Programs: Providing simulation-based training tools can help users learn to control the SRLs effectively, ensuring they can be used efficiently in real-world tasks.

4. Safety and Compliance: Ensuring the safety of both the user and those around them is paramount, especially in environments where human-robot interaction is frequent.
Solution Ideas:
Real-time Safety Protocols: Implementing real-time monitoring and safety protocols that can prevent accidents or injuries. This includes collision avoidance systems and emergency stop mechanisms. Compliance with Regulations: Adhering to existing robotic and workplace safety regulations, and contributing to the development of new standards specifically for SRLs.

# CRITERION FOR SUCCESS
For our Supernumerary Robotic Limbs (SRLs) project, success is contingent upon meeting specific high-level criteria. Stability is a paramount goal, demanding that signals are received seamlessly, without any loss, especially within the confines of a room, even when there is a gap of two chairs. Affordability is a key criterion, emphasizing the importance of keeping costs low to enable widespread adoption and accessibility. Efficiency is critical; the process from user input to signal collection and transmission should operate with minimal delay. Aesthetic considerations are not overlooked; the design should be widely accepted and easily producible through technologies like 3D printing. Feedback mechanisms are crucial for user satisfaction; users should receive prompt and meaningful feedback from the system, enhancing their experience and trust. Additionally, the system's concurrency is vital; it must adeptly handle signals from multiple limbs in real-time, ensuring seamless integration and coordination. These high-level goals collectively define the success of our Supernumerary Robotic Limbs project.

# DISTRIBUTION OF WORK

Yichi Zhang: Part of the code work and electronic control system design and equipment selection

Yushi Chen: Part of the code work and electronic control system design and equipment selection

Xuekun Zhang: Progress major code work and overall design work

Haotian Jiang: 3D print structure design and physical setup for the hardware part.

Fixed wing drone with auto-navigation

Ziyang An, Zhanhao He, Yihui Li, Zhibo Teng

Featured Project

# Fixed wing drone with auto-navigation

## Group Members

**Zhibo Teng** NetID: zhibot2

**Yihui Li** NetID: yihuil2

**Ziyang An** NetID: ziyanga2

**Zhanhao He** NetID: zhanhao5

## Problem

Traditional methods of data collection, such as using manned aircraft or ground surveys, can be time-consuming, expensive, and limited in their ability to access certain areas. The multi-rotor airfoil UAV being used now has slow flight speed and short single distance, which is not suitable for some long-distance operations. Moreover, it needs manual control, so it has low convenience. Fixed wing drones with auto-navigation can overcome these limitations by providing a cost-effective and flexible solution for aerial data collection.

The motivation behind our design is to provide a reliable and efficient way to collect high-quality data from the air, which can improve decision-making processes for a variety of industries. The drone can fly pre-determined flight paths, making it easier to cover large areas and collect consistent data. The auto-navigation capabilities can also improve the accuracy of the data collected, reducing the need for manual intervention and minimizing the risk of errors.

## Solution Overview

Our design is a fixed wing drone with auto-navigation capabilities that is optimized for aerial data collection. The drone is equipped with a range of sensors and cameras, as well as software that allows it to fly pre-determined flight paths and collect data in a consistent and accurate manner. Our design solves the problem of inefficient and costly aerial data collection by providing a cost-effective and flexible solution that can cover large areas quickly and accurately. The auto-navigation capabilities of the drone enable it to fly pre-determined flight paths, which allows for consistent and repeatable data collection. This reduces the need for manual intervention, which can improve the accuracy of the data and minimize the risk of errors. Additionally, the drone’s compact size and ability to access difficult-to-reach areas can make it an ideal solution for industries that require detailed aerial data collection.

## Solution Components

### Subsystem #1: Aircraft Structure and Design

* Design the overall structure of the plane, including the wings, fuselage, and tail section

* Use 3D modeling software to create a digital model of the plane

* Choose materials for construction based on their weight, durability, and strength

* Create a physical model of the plane using 3D printing or laser cutting

### Subsystem #2: Flight Control System

* Implement a flight control system that can be operated both manually and automatically

* For manual control, design a control panel that includes a joystick and other necessary controls

* For automatic control, integrate a flight controller module that can be programmed with waypoints and flight parameters

* Choose appropriate sensors for detecting altitude, speed, and orientation of the plane

* Implement algorithms for stabilizing the plane during flight and adjusting control surfaces for directional control

### Subsystem #3: Power and Propulsion

* Choose a suitable motor and propeller to provide the necessary thrust for the plane

* Design and integrate a battery system that can power the motor and control systems for a sufficient amount of time

* Implement a power management system that can monitor the battery voltage and ensure safe operation of the plane

### Subsystem #4: Communication and Telemetry

* Implement a wireless communication system for transmitting telemetry data and controlling the plane remotely

* Choose a suitable communication protocol such as Wi-Fi or Bluetooth

* Develop a user interface for displaying telemetry data and controlling the plane from a mobile device or computer

## Criterion for Success

1. Design and complete the UAV model including wings, fuselage, and tail section

2. The UAV can fly normally in the air and realize the control of the UAV, including manual and automatic control

3. To realize the data monitoring of UAV in flight, including location, speed and altitude

## Distribution of Work

**Zhibo Teng:** Aircraft Structure and Design

**Yihui Li:** Aircraft Structure and Design

**Ziyang An:** Flight Control System Power and Propulsion

**Zhanhao He:** Flight Control System Communication and Telemetry