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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.06693 |
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| _version_ | 1866914992740106240 |
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| author | Khalili, Erfan Amoozad Ghasemzadeh, Kiarash Gohari, Hossein Jafari, Mohammadreza Jamshidi, Matin Khaksar, Mahdi AkramiFard, AmirReza Hatamzadeh, Mana Sadeghi, Saba Moaiyeri, Mohammad Hossein |
| author_facet | Khalili, Erfan Amoozad Ghasemzadeh, Kiarash Gohari, Hossein Jafari, Mohammadreza Jamshidi, Matin Khaksar, Mahdi AkramiFard, AmirReza Hatamzadeh, Mana Sadeghi, Saba Moaiyeri, Mohammad Hossein |
| contents | This paper describes Auriga's @Work team and their robot, developed at Shahid Beheshti University Faculty of Electrical Engineering's Robotics and Intelligent Automation Lab for RoboCup 2024 competitions. The robot is designed for industrial tasks, optimizing efficiency in repetitive or hazardous environments. It features a 4-wheel Mecanum system for omnidirectional movement and a 5-degree-of-freedom manipulator arm with a 3D-printed gripper for object handling and navigation. The electronics include custom boards with ESP32 microcontrollers and an Nvidia Jetson Nano for real-time control. Key software components include Hector SLAM for mapping, A* path planning, and YOLO for object detection, supported by integrated sensors for enhanced navigation and collision avoidance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_06693 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Technical Report of Mobile Manipulator Robot for Industrial Environments Khalili, Erfan Amoozad Ghasemzadeh, Kiarash Gohari, Hossein Jafari, Mohammadreza Jamshidi, Matin Khaksar, Mahdi AkramiFard, AmirReza Hatamzadeh, Mana Sadeghi, Saba Moaiyeri, Mohammad Hossein Robotics This paper describes Auriga's @Work team and their robot, developed at Shahid Beheshti University Faculty of Electrical Engineering's Robotics and Intelligent Automation Lab for RoboCup 2024 competitions. The robot is designed for industrial tasks, optimizing efficiency in repetitive or hazardous environments. It features a 4-wheel Mecanum system for omnidirectional movement and a 5-degree-of-freedom manipulator arm with a 3D-printed gripper for object handling and navigation. The electronics include custom boards with ESP32 microcontrollers and an Nvidia Jetson Nano for real-time control. Key software components include Hector SLAM for mapping, A* path planning, and YOLO for object detection, supported by integrated sensors for enhanced navigation and collision avoidance. |
| title | Technical Report of Mobile Manipulator Robot for Industrial Environments |
| topic | Robotics |
| url | https://arxiv.org/abs/2409.06693 |