Path Finding Autonomous Robot System

2019 COE Engineering Design Project (TY05)


Faculty Lab Coordinator

Truman Yang

Topic Category

Software Systems

Preamble

In complex ground environment, obstacles positions are uncertain. Path finding for robots in such environment is very hot issues currently. This project includes the design and implementation of a multi-sensor based path finding autonomous exploration robot system. A novel path finding method integrating line tracking and obstacle avoidance algorithms will be proposed and implemented.

Objective

Design and implement path finding solutions to solve the problems described above.

Partial Specifications

(1) The path finding algorithm should be efficient. It should effectively solve path finding problem in complex ground environment and avoid collision with the obstacles
(2) The path finding method for robot system should also work in the environment when obstacle locations updating in real-time.

Suggested Approach

(1) Software development in Python or RobotC.
(2) Implement and evaluate the algorithms on various type of robots

Group Responsibilities

Design, implement, and test the solutions as specified above.

Student A Responsibilities

Design and implement a line tracking algorithm

Student B Responsibilities

Design and implement an obstacle avoidance algorithm

Student C Responsibilities

Design and implement an obstacle removal algorithm

Student D Responsibilities

Document and evaluate the performance of the algorithms

Course Co-requisites

COE318: Software Systems

 


TY05: Path Finding Autonomous Robot System | Truman Yang | Sunday September 1st 2019 at 11:51 PM