Development of a User-Friendly Simulation Model and Control System for Wheelchair-Mounted Robots Performing Pick-and-Place Tasks in Assistive Environments

Assistive robotic arms enhance autonomy and quality of life for individuals with mobility impairments, yet there remains a need for more efficient, user-friendly technologies. Simulation offers a cost-effective approach for development and testing, but existing models primarily focus on industrial and service robots rather than wheelchair-mounted robotic arms for assistive tasks. This research develops and validates a simulation model for wheelchair-mounted robots performing pick-and-place tasks in assistive environments. The platform integrates kinematic and dynamic control, along with Bluetooth joystick support mimicking a wheelchair joystick. It enables precise movement control and mode selection via intuitive push buttons, while indicator lights provide immediate feedback to enhance user interaction. The prototype, incorporating a wheelchair joystick, closely aligns with simulation results, effectively executing object manipulation tasks. This simulation tool streamlines the development process and offers a scalable solution for future assistive robotic systems, bridging the gap between design and real-world implementation.

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Published
2025-05-07
DOI
https://doi.org/10.1109/airc64931.2025.11077502
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
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article

Development of a User-Friendly Simulation Model and Control System for Wheelchair-Mounted Robots Performing Pick-and-Place Tasks in Assistive Environments

Mohammad Habibur Rahman, Md Ishrak Islam Zarif, Javier Sanjuan, Sheikh Iqbal Ahamed et al.
1 links
Gaze Tracking and Assistive Technology
article

Development of a User-Friendly Simulation Model and Control System for Wheelchair-Mounted Robots Performing Pick-and-Place Tasks in Assistive Environments

Mohammad Habibur Rahman, Md Ishrak Islam Zarif, Javier Sanjuan, Sheikh Iqbal Ahamed, Md Tanzil Shahria, David Bedolla-Martínez, Md Mahbubur Rahman
article en

Abstract

Assistive robotic arms enhance autonomy and quality of life for individuals with mobility impairments, yet there remains a need for more efficient, user-friendly technologies. Simulation offers a cost-effective approach for development and testing, but existing models primarily focus on industrial and service robots rather than wheelchair-mounted robotic arms for assistive tasks. This research develops and validates a simulation model for wheelchair-mounted robots performing pick-and-place tasks in assistive environments. The platform integrates kinematic and dynamic control, along with Bluetooth joystick support mimicking a wheelchair joystick. It enables precise movement control and mode selection via intuitive push buttons, while indicator lights provide immediate feedback to enhance user interaction. The prototype, incorporating a wheelchair joystick, closely aligns with simulation results, effectively executing object manipulation tasks. This simulation tool streamlines the development process and offers a scalable solution for future assistive robotic systems, bridging the gap between design and real-world implementation.

Marquette University (US), Universidad del Norte (CO), University School of Milwaukee (US), Xuzhou Construction Machinery Group (China) (CN), University of Wisconsin–Milwaukee (US)
National Institute on Disability, Independent Living, and Rehabilitation Research
Openalex Percentile: Top 83%
Gaze Tracking and Assistive Technology
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