ANDROID BASED PICK AND PLACE ROBOTIC ARM VEHICLE
This project presents the design and implementation of an Android based pick and place robotic arm vehicle aimedat improving automation in industrial and hazardous workspaces The system consists of a robotic arm with four degrees offreedom mounted on a mobile platform that allows accurate object manipulation and controlled movement A Raspberry Pi isused as the central controller to operate motor drivers servos and sensors while receiving commands from a custom Androidapplication Communication between the app and the Raspberry Pi is achieved wirelessly through Bluetooth or WiFi whichenables real time control and monitoring An optional camera module is included to support image processing and objectrecognition giving the robot the ability to identify and sort objects with minimal human input This addition enhances the system’sadaptability to more complex tasks The use of open source hardware and software ensures that the solution remains cost effectivescalable and accessible for small and medium enterprises During testing the robot successfully picked and placed items weighingup to 500 grams and responded effectively to user instructions sent through the app The Android interface provided a smoothuser experience with intuitive controls The system performed reliably on flat surfaces but encountered minor difficulties onuneven terrain and showed limited gripper flexibility when handling irregular shaped objects This project highlights thepotential of integrating mobile technology with robotics to reduce manual labor increase precision and improve operationalsafety in various fields The modular build and open design allow for easy future upgrades including artificial intelligence basedobject recognition adaptive gripping mechanisms and enhanced navigation over different types of surfaces The outcome of thisproject demonstrates a practical and efficient approach to developing robotic systems using widely available components andmodern mobile interfaces
Institutions
- SRM Institute of Science and Technology (IN)
- Multimedia University (MY)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-12
- DOI
- https://doi.org/10.5281/zenodo.16606086
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00