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Original Article

Wheelchair with Robotic Arms

Roshni1 Joshney Sunny2 Ahamed Uvais3 Regis Nixon4 Maria Michael5
1 2 3 4 5 Department of Electrical and Electronics Engineering, IES College of Engineering/ APJ Abdul Kalam Technological University, Thrissur, Kerala, India.

Published Online: January-February 2026

Pages: 105-108

References

1. Nair, K. S., & Ali, M. (2022). Wheelchair mounted robotic arms: a systematic review of technical design and activities of daily living
outcomes. Journal of Rehabilitation Robotics.A comprehensive review of design challenges and use cases.
2. Li, J., & Wang, Y. (2023). Adaptive Control of a Wheelchair Mounted Robotic Arm with Online Learning. IEEE Transactions on
Neural Systems and Rehabilitation Engineering. Focuses on advanced control strategies for assistive arms.
3. Zhang, L., Song, R., & Xie, J. (2023). Object Affordance Based Interaction for Wheelchair-Mounted Robotic Arms Using Laser
Pointer. Sensors (MDPI). Proposes an intuitive user interface for object manipulation.
4. Hosseini, M., et al. (2021). Eye-gaze Control of a 6DoF Wheelchair Mounted Robot for Daily Tasks. Journal of Neuro Engineering
and Rehabilitation. Uses eye tracking for hands free control.
5. Elhajj, I. H., et al. (2019). Design and Control of 6DOF Assistive Manipulator for Electric Wheelchairs. Proceedings of the IEEE
International Conference on Rehabilitation Robotics (ICORR). Well cited conference paper on wheelchair robotics.
6. Pons, J. L., & Ceres, R. (2020). Assistive Robot Arms for Wheelchair Users: Design, Control and Human Considerations. Biomedical
Engineering Letters. Combines mechanics, control, and ergonomics.
7. Carse, B., et al. (2016). User Evaluation of a Wheelchair Mounted Robotic Arm for Daily Tasks. Disability and Rehabilitation:
Assistive Technology. Focus on user feedback and real-world functionality.
8. Li, G., & Gupta, A. (2017). Mobile Manipulation Systems for People with Disabilities: A Review. Robotics and Autonomous Systems.
Includes sections dedicated to wheelchair mounted manipulators.
9. Al-Turki, A., & Seneviratne, L. (2018). Multi modal Control Interfaces for Wheelchair Robotics. Journal of Intelligent & Robotic
Systems. Covers voice, gesture, and brain-computer interfaces.
10. Popovic, D., et al. (2015). Human Machine Interfaces for Assistive Robotic Arms on Wheelchairs. Annual International Conference
of the IEEE Engineering in Medicine and Biology Society (EMBC). Classic reference on interfaces and system integration

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