Encoder-Orientation Sensor Fusion for Ground Robot Navigation

projects

To achieve autonomous navigation for a ground robot, I worked on the development of:

  • Encoder-based low-level controller developed with Raspberry Pi Pico.
  • Sensor fusion for robot localization using wheel encoders and orientation sensors.
  • Velocity controller design for LiDAR-based obstacle avoidance using NVIDIA Jetson Orin Nano.
Autonomous ground robot navigation
Figure: Autonomous navigation and obstacle avoidance for ground robot
TurtleBot obstacle avoidance
Figure 2: Obstacle avoidance with TurtleBot

The aim of this project was to develop a prototype rover that could be scaled for vineyard data collection. The velocity controller was also tested on a TurtleBot to validate the obstacle avoidance performance.

Dimple Bhuta
Authors
Robotics Engineer & Researcher
Robotics engineer and researcher with 10+ years of experience specializing in perception, navigation, state estimation, and control for autonomous systems.