Ayush Ajmera,
Deepti Tupake,
Ritesh Shambharkar,
tejas Dherange,
R.A. Kapgate,
- Student, Department of Mechatronics Engineering, Sanjivani College of Engineering,, Maharashtra, India
- Student, Department of Mechatronics Engineering, Sanjivani College of Engineering,, Maharashtra, India
- Student, Department of Mechatronics Engineering, Sanjivani College of Engineering,, Maharashtra, India
- Student, Department of Mechatronics Engineering, Sanjivani College of Engineering,, Maharashtra, India
- Professor, Department of Mechatronics Engineering, Sanjivani College of Engineering,, Maharashtra, India
Abstract
In robotics and industrial automation, there is a growing need for robotic systems that can work on their own and do tasks quickly. This research is about creating an Intelligent Robotic Arm that uses the Robot Operating System and works with a UR3 platform and an OAK-D depth camera for better vision. The Robotic Arm uses the Robot Operating System as its software, which helps it talk to its parts, move accurately, and do tasks well. With computer vision and depth sensing, the Robotic Arm can find objects, know where they are and do tasks with accuracy. The Robotic Arm can work in changing environments. Still be stable and accurate. It can do industrial tasks like picking and placing things, sorting objects, and simple assembly. The Robotic Arm uses motion planning algorithms and sensor feedback to adjust its movements in time, making it safe and efficient. The system was tested through simulation and practical testing. The results show that the Robotic Arm is scalable and adaptable, making it suitable for use in manufacturing, healthcare, logistics, and warehouse automation. The Robotic Arm can be used in various areas, and its ability to work well in different situations makes it a valuable tool. The Robot Operating System and OAK-D camera make the Robotic Arm smart and capable. The UR3 robotic platform and computer vision help the Robotic Arm do tasks with precision. The Robotic Arm is a system that can help in many industries.
Keywords: ROS, robotic arm, UR3, OAK-D camera, motion planning, industrial automation
[This article belongs to Journal of Advancements in Robotics ]
References
- Quigley M, Gerkey B, Conley K, Faust J, Foote T, Leibs J, et al. ROS: an open-source robot operating system. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) Workshop on Open Source Software; 2009 May 12–17; Kobe, Japan. p. 1–6.
- Chitta S, Sucan I, Cousins S. MoveIt! An open-source software for kinematics, motion planning, and control. IEEE Robot Autom Mag. 2012;19(1):40–50. doi:10.1109/MRA.2011.2181748.
- Audonnet FP, Hamilton A, Aragon-Camarasa G. A systematic comparison of simulation software for robotic arm manipulation using ROS2. In: Proceedings of the 22nd International Conference on Control, Automation and Systems (ICCAS); 2022 Nov 27–30; Busan, South Korea. Piscataway (NJ): IEEE; 2022. p. 755–762. doi:10.23919/ICCAS55662.2022.10003832.
- Han Y, Mokhtarzadeh AA, Xiao S. Novel cartographer using an OAK-D smart camera for indoor robots location and navigation. J Phys Conf Ser. 2023;2467(1):012029. doi:10.1088/1742-6596/2467/1/012029.
- Moreno HA, Carrera IG, Ramírez-Mendoza RA, Baca J, Banfield IA, editors. Advances in automation and robotics research: proceedings of the 3rd Latin American Congress on Automation and Robotics, Monterrey, Mexico 2021. 1st ed. Cham: Springer; 2022. (Lecture Notes in Networks and Systems; vol. 347). doi:10.1007/978-3-030-90033-5.
- Müller A, Friedl L. Implementation of a UR3 robot for automated tasks in an industrial setup using ROS. IEEE Robot Autom Mag. 2016;23(3):50-57.
- Redmon J, Divvala S, Girshick R, Farhadi A. You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); 2016 Jun 27-30; Las Vegas, NV, USA. Piscataway (NJ): IEEE; 2016. p. 779-788. doi:10.1109/CVPR.2016.91.
- Kragic D, Christensen HI. Survey on visual servoing for manipulation. Stockholm (Sweden): Centre for Autonomous Systems, Numerical Analysis and Computer Science, Royal Institute of Technology (KTH); 2002.
- Wurman PR, D’Andrea R, Mountz M. Coordinating hundreds of cooperative, autonomous vehicles in warehouses. AI Mag. 2008;29(1):9-20. doi:10.1609/aimag.v29i1.2082.
- Tomić T, Petrovic P. Advances in collaborative robotics: challenges and opportunities for industrial applications. Procedia CIRP. 2020;91:32-37.
Journal of Advancements in Robotics
| Volume | 13 | |
| Issue | 02 | |
| Received | 19/01/2026 | |
| Accepted | 05/03/2026 | |
| Published | 10/03/2026 | |
| Publication Time | 50 Days |