Mini-review: Robotic wheelchair taxonomy and readiness

Sivakanthan, Sivashankar; Candiotti, Jorge; Sundaram, Andrea; Duvall, Jonathan; Sergeant, James; Cooper, Rosemarie; Satpute, Shantanu; Turner, Rose; Cooper, Rory A.

doi:10.1016/j.neulet.2022.136482

Cited by 18 publications

(6 citation statements)

References 206 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This technology allows for precise translation of the user's intentions into concrete actions. Integrated actuation systems within the wheelchair, managed by advanced control software, possibly based on ROS, dynamically respond to these commands, enabling smooth movements in multiple directions [55]. To ensure safety and reliability, the wheelchair is equipped with obstacle detection systems and safety protocols that allow for quick responses to changes in the environment and provide safe operation.…”

Section: Appendix B Comparative Results On the Fulfillment Of Functio...mentioning

confidence: 99%

See 1 more Smart Citation

Architectural Proposal for Low-Cost Brain–Computer Interfaces with ROS Systems for the Control of Robotic Arms in Autonomous Wheelchairs

Rivas,

Sierra,

Cámara

2024

Electronics

View full text Add to dashboard Cite

Neurodegenerative diseases present significant challenges in terms of mobility and autonomy for patients. In the current context of technological advances, brain–computer interfaces (BCIs) emerge as a promising tool to improve the quality of life of these patients. Therefore, in this study, we explore the feasibility of using low-cost commercial EEG headsets, such as Neurosky and Brainlink, for the control of robotic arms integrated into autonomous wheelchairs. These headbands, which offer attention and meditation values, have been adapted to provide intuitive control based on the eight EEG signal values read from Delta to Gamma (high and low/medium Gamma) collected from the users’ prefrontal area, using only two non-invasive electrodes. To ensure precise and adaptive control, we have incorporated a neural network that interprets these values in real time so that the response of the robotic arm matches the user’s intentions. The results suggest that this combination of BCIs, robotics, and machine learning techniques, such as neural networks, is not only technically feasible but also has the potential to radically transform the interaction of patients with neurodegenerative diseases with their environment.

show abstract

Section: Appendix B Comparative Results On the Fulfillment Of Functio...mentioning

confidence: 99%

“…The modularity and scalability provided by ROS are fundamental to ensuring fluid and precise interaction between the brain-computer interface and the mechanical systems. Additionally, ROS facilitates the integration of safety and feedback systems, which is essential for reliable and safe control of assisted devices [55].…”

Section: Not Applicablementioning

confidence: 99%

Architectural Proposal for Low-Cost Brain–Computer Interfaces with ROS Systems for the Control of Robotic Arms in Autonomous Wheelchairs

Rivas,

Sierra,

Cámara

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…Sometimes they are simply too bulky to be used in combination with standard furniture (e.g., when approaching a dining table ). A lack of engagement with end users during research and development for powered wheelchairs has been reported (115). While several powered wheelchairs with advanced mobility performance (e.g., stair-climbing functions) have been commercialized in the last 10 years, most of them have disappeared from the market.…”

Section: Discussionmentioning

confidence: 99%

How the CYBATHLON Competition Has Advanced Assistive Technologies

Jaeger

Baptista

Basla

et al. 2023

Annu. Rev. Control Robot. Auton. Syst.

View full text Add to dashboard Cite

Approximately 1.1. billion people worldwide live with some form of disability, and assistive technology has the potential to increase their overall quality of life. However, the end users’ perspective and needs are often not sufficiently considered during the development of this technology, leading to frustration and nonuse of existing devices. Since its first competition in 2016, CYBATHLON has aimed to drive innovation in the field of assistive technology by motivating teams to involve end users more actively in the development process and to tailor novel devices to their actual daily-life needs. Competition tasks therefore represent unsolved daily-life challenges for people with disabilities and serve the purpose of benchmarking the latest developments from research laboratories and companies from around the world. This review describes each of the competition disciplines, their contributions to assistive technology, and remaining challenges in the user-centered development of this technology.

show abstract

“…Innovations in self-driving cars [156], [194] may be driven by the automotive industry's push towards autonomy, while advancements in robotic wheelchairs [97], [197] likely reflect the growing need for assistive technologies in healthcare and ageing populations. The role of assistive robotics in healthcare, exemplified by platforms like Assistive Gym [213], demonstrates the adaptability and precision required for these applications, necessitating a deep understanding of both robotic taxonomy and the specific requirements of healthcare scenarios [214]. The disparate emphasis between categories illustrates the multi-dimensional nature of WMRs research, highlighting both the convergence on widely accepted platforms and the constant exploration of new terrains and functionalities.…”

Section: Rq3: Which Ros-enabled Wmrs Are Employed In Ai-driven Percep...mentioning

confidence: 99%

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Kargar,

Yordanov,

Harvey

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Simulation plays a pivotal role in providing safely reproducible scenarios to evaluate the ever-advancing domain of computer science and robotics. It was an essential part of the pandemic when no access to physical spaces was available. The advent of AI-powered platforms in conjunction with enhanced graphics, physics and other sensory engines attracts a new breed of interdisciplinary researchers to enter the robotic field, most notably from computer science, engineering and social sciences. Integration of ROS as a uniform middleware to deploy achieved outcomes in real practice provides an opportunity to move one step closer to the sim-to-real experiences that enables researchers to test ideas beyond the close laboratory spaces. There is a lack of comprehensive evaluation of ROS-enabled simulators, and the integration of advanced AI techniques for realistic scenario replication. This paper addresses this challenge by evaluating ROSenabled simulators in the design and implementation of AI techniques through an in-depth systematic literature review (SLR). This SLR is guided by the research and commercial market demands, employing Population, Intervention, Comparison, Outcome, and Context (PICOC) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) frameworks with a major focus on Wheeled Mobile Robots (WMRs). We also highlight the increasing importance of game engines like Unity and Unreal in future of robotic simulations, especially under modelling close to real experiences. By comparing simulation platform features and capabilities, this paper offers guidance to developers and researchers, enabling them to select the most suitable platform for their projects efficiently that contradicts the commonly in use "one size fits all" approach. Finally, based on the thorough insights from the review, we identify and suggest some key future research directions in AI-enhanced realistic robotic simulations.

show abstract

Mini-review: Robotic wheelchair taxonomy and readiness

Cited by 18 publications

References 206 publications

Architectural Proposal for Low-Cost Brain–Computer Interfaces with ROS Systems for the Control of Robotic Arms in Autonomous Wheelchairs

Architectural Proposal for Low-Cost Brain–Computer Interfaces with ROS Systems for the Control of Robotic Arms in Autonomous Wheelchairs

How the CYBATHLON Competition Has Advanced Assistive Technologies

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Contact Info

Product

Resources

About