ACL
Solicitation: HHS-2026-ACL-NIDILRR-REGE-0212
https://simpler.grants.gov/opportunity/c08bbf7a-563b-4af4-a79b-b1cb7bdd71ad
Posted Date: June 01, 2026
Proposal Due Date: July 16, 2026 by 11:59 pm, ET
Assistive technologies address activity and participation difficulties encountered by people with disability by augmenting, compensating for the loss of, or restoring function to improve performance. However, many traditional assistive devices do not effectively address individual needs. These traditional devices offer generic solutions that may not address specific challenges or preferences of people with physical disabilities. Some assistive technology is difficult to learn or operate, especially for users with limited motor abilities. Complex user interfaces and poor usability limit participation and independence. Assistive devices often operate in isolation and are not well integrated or compatible with other systems and home environments, reducing overall effectiveness. Additionally, the characteristics of existing technologies such as durability, weight, size, power sources, and control algorithms have yet to be optimized
for ease of use and functionality in the real world. This often results in technologies being non-intuitive, obtrusive, or difficult to control, reducing user acceptance and adoption.
AI has the potential to address many of these persistent problems facing assistive technologies. Through advanced algorithms, AI can tailor assistive devices to the specific functional needs, preferences, and environments of individual users, providing more personalized and effective support. AI has the potential to enable devices to predict their user’s intentions and adapt the device’s responses. This improves usability and satisfaction. Smart assistive devices powered by AI can learn from usage patterns to optimize assistance provided to the user. Devices powered by AI can also enhance safety through features like fall detection and obstacle avoidance, and ultimately support greater independence.


