Project

# Title Team Members TA Documents Sponsor
9 Spherical Bio-Inspired Tensegrity Multiple Step Robot with LCE Actuation
Dongzi Li
Yiqin Xiang
Yuxuan Huang
Ziye Chen
final_paper1.pdf
other1.pdf
Hanzhi Ma
Problem
Robots designed for exploration or operation in unstructured environments often face challenges related to impact resistance, adaptability, and mechanical complexity. Traditional rigid robots rely on wheels, motors, and rigid frames, which can be vulnerable to collisions and mechanical damage when operating in uncertain environments.
Tensegrity structures offer a promising alternative because they combine rigid compression elements and tensioned cables to form lightweight yet resilient structures. These systems distribute loads efficiently and naturally absorb impacts, making them suitable for robots that must tolerate collisions or uneven terrain.
However, many existing tensegrity robots rely on bulky motors or external actuation systems to control cable tension, which increases system weight, mechanical complexity, and power consumption. A more compact and integrated actuation method is needed to enable lightweight tensegrity robots capable of controlled locomotion.
Researchers therefore need a robotic system that integrates lightweight tensegrity structures with compact actuators to enable controllable motion while maintaining structural compliance and robustness.

Solution Overview
Our solution is to develop a spherical bio-inspired tensegrity robot that uses liquid crystal elastomer (LCE) actuator cables as artificial muscles. The robot will consist of a lightweight hollow tensegrity framework composed of rigid rods connected by tension cables. Selected cables will be replaced by LCE actuators.
When electrical current is applied to the LCE cables, Joule heating causes the material to contract. This contraction increases tension within the tensegrity structure and produces controlled deformation of the spherical frame. By activating different actuators in sequence, the robot can shift its center of mass and generate rolling motion on flat ground.
The system will include a multi-channel control circuit, wireless communication, and gait-sequence control softwarethat coordinate actuator activation. These components allow the robot to perform continuous locomotion and basic directional control. In addition, power and thermal management mechanisms will ensure safe and reliable operation of the LCE actuators.

Solution Components
Actuation Subsystem
• LCE actuator cables that contract when electrically heated
• Driver circuits capable of supplying current to multiple actuators
• Electrical connections integrated into the tensegrity structure
These components act as artificial muscles that control tension within the robot and enable structural deformation.

Structural Subsystem
• Lightweight rigid rods forming the compression elements
• Tension cables connecting structural nodes
• Mechanical joints and connectors forming a spherical tensegrity framework
The structure maintains the robot’s geometry while distributing loads and absorbing impacts.

Control Subsystem
• Microcontroller for actuator control
• Multi-channel switching or driver circuitry
• Gait-sequence control software
This subsystem determines the timing and sequence of actuator activation required to generate rolling locomotion.

Communication Subsystem
• Wireless communication module (e.g., Bluetooth or WiFi)
• Remote command interface
This subsystem allows users to send commands to control the robot’s motion.

Power Subsystem
• Rechargeable battery pack
• Voltage regulation circuitry
This subsystem supplies electrical power to the control electronics and LCE actuators.

Criterion for Success
The project will be considered successful if the following criteria are achieved:
1. Actuation capability
The LCE actuator cables must demonstrate repeatable contraction when electrically heated and return to their original length after cooling.
2. Controlled locomotion
The robot must demonstrate continuous rolling motion on a flat surface through coordinated actuator activation.
3. Directional control
The robot must demonstrate basic steering capability using different actuator sequences.
4. Wireless operation
The robot must successfully receive wireless commands and execute corresponding motion behaviors.
5. System integration
The complete system—including tensegrity structure, actuators, control electronics, and power supply—must operate together as an integrated robot.

Remote Driving System

Bo Pang, Jiahao Wei, Kangyu Zhu

Featured Project

#### TEAM MEMBERS

Jiahao Wei (jiahaow4)

Bo Pang (bopang5)

Kangyu Zhu (Kangyuz2)

## REMOTE DRIVING SYSTEM

#### PROBLEM:

In daily life, people might not be able to drive due to factors like fatigue and alcohol. In this case, remote chauffeur can act as the driver to make the driving safe and reduce the incidence of traffic accidents. Remote chauffeuring can improve the convenience of driving. In the case of urban traffic congestion and parking difficulties, remote chauffeurs allow drivers to park their vehicles in parking lots away from the city center and then deliver them to their destination via remote control.

#### SOLUTION OVERVIEW:

The remote driving system is designed to provide real-time feedback of the car's external environment and internal movement information to the remote chauffeurs. Through the use of advanced technologies, the remote chauffeurs can remotely operate the car's movement using various devices. This system is capable of monitoring the car's speed, distance from obstacles, and battery life, and transmitting this information to the remote chauffeurs in a clear and easy-to-understand format.

#### SOLUTION COMPONENTS:

##### Modules on TurtleBot3 :

- The mechanical control system: to achieve the basic motion functions of the TurtleBot3 car.

- The distance sensing system used for monitoring the surrounding environment: Using LiDAR to detect the distance of the car in different directions.

- The system used for monitoring the vehicle's status: real-time monitoring the car's battery power, speed, etc., and uploading the data to the PC server in real-time.

##### Server Modules:

- The transmission system used to remotely control the car: implemented using Arduino IDE.

- The system used to build an AR-based information interaction system: implemented using Unity.

- The system used to output specific car motion commands: implemented using ROS to control the car.

##### HRI modules:

- The gesture recognition system used to recognize gestures given by people and feed back to the central PC server.

- The device used for interaction between the car and people: transmitting real-time surrounding information of the car to the Hololens 2 glasses in video form.

#### CRITERION FOR SUCCESS:

- Functionality: The remote driving system needs to be able to facilitate interaction between the user and the vehicle, enabling the user to remotely control the vehicle's steering, acceleration, and deceleration functions.

- User experience: The user can obtain real-time information about the surrounding environment while driving the vehicle through the glasses, and control the vehicle's movement through gestures.

- Environmental parameter detection: The vehicle can obtain distance information about the environment and its own real-time information.

- Durability and stability: The server needs to maintain a stable connection between the vehicle and the user.

#### DISTRIBUTION OF WORK:

- ECE STUDENT PANG BO:

Implementing the ROS interaction with the PC, using the ROS platform to control the car's speed and direction.

- ECE STUDENT WEI JIAHAO:

Building the car, implementing environmental monitoring and video transmission, ensuring stable transmission of environmental information to the user.

Implementing speed measurement, obstacle distance detection, and battery level monitoring for the car.

- EE STUDENT ZHU KANGYU:

Designing the AR interaction, issuing AR information prompts when the car is overspeeding or approaching obstacles.

Implementing hand gesture recognition for interaction between hololens2 and PC.