Deep Neural Nets for Autonomous Exploration
Abstract:
The goal of this resarch project is to explore the aplicabillity of Deep Neural Nets (DNN) as key components of autonomous robot mapping and navigation.
The three primary objectives of this project are:
- To design and build the core deep neural network (DNN) software modules to implement autonomous exploration utilizing cameras, LIDAR and IMU.
- To test and validate the softwares performance using various testing methods such as simulation and on-vehicle testing. The testing should include evaluating the system’s mapping and navigational capabilities under various conditions.
- To document the design and development process in a report that includes details such as the design approach, development system used, testing results, and project outcomes. The report will be comprehensive and suitable for use in future development projects.
By achieving these objectives, the project will develop experience and core competence implementing autonomous vehicle control as a building block for cognitive robotics .
