Segregation robot using neural network
| dc.contributor.author | Hammad Imran | |
| dc.contributor.author | Areej Safdar | |
| dc.contributor.author | Aafaq Akhter | |
| dc.date.accessioned | 2025-12-21T16:38:31Z | |
| dc.date.available | 2025-12-21T16:38:31Z | |
| dc.date.issued | 2021-05 | |
| dc.description.abstract | Autonomous Navigation robot system is massively used in logistics to improve the efficiency of delivery system that can be of warehouse or a post service. Using an IMU sensor and encoders, an algorithm is developed that uses a Neural Network (NN) to map some unknown environment while simultaneously providing the pose of the robot in the created map with respect to its initial origin location. Raspberry pi has been used as a brain for the robot. In order to operate robot in real time many factors are considered like collision avoidance, path planning for making a novel robot. Robot Operating System has a graphical user interface for robot mapping and localization (ROS). We developed an interface for GPS system for live tracking and area alert. | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/17528 | |
| dc.language.iso | en | |
| dc.publisher | UMT Lahore | |
| dc.title | Segregation robot using neural network | |
| dc.type | Thesis |
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