ReviewFrontiers in robotics and AI2026
A review of full-stack autonomous obstacle avoidance for assistive robots for the disabled.
Review in Frontiers in robotics and AI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the intensification of population aging and the increasing awareness of protecting the rights of the disabled, significant progress has been made in assistive robots for visually impaired people, the mobility impairments and other groups. Research in this field focuses on four key technical dimensions: environmental perception, obstacle recognition and classification, path planning and obstacle avoidance algorithms, and scenario-based applications. This analysis particularly focuses on the ability of multi-sensor fusion to acquire spatial information in complex and dynamic environments, and reviews the technological evolution in target detection, semantic understanding, and passable area determination. The work further explores algorithms ranging from global path planning to local obstacle avoidance strategies, as well as reinforcement learning and multi-algorithm integration. Furthermore, this narrative review synthesizes the current research on assistive technologies, including guide robots for the visually impaired, intelligent mobility platforms for wheelchair users, and solutions adaptable to both indoor and outdoor environments. The insights derived from this review offer a reliable foundation to support the travel and daily activities of people with disabilities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.