assistive-robotics

EEG-VID introduces task-guided latent predictive pretraining to improve EEG decoding under session and subject shifts, achieving above-chance target selection in assistive robotics scenarios.

Meta's AI models are being used by the University of Pittsburgh to advance assistive robotics, helping to restore independence for people with disabilities.

This paper presents MEMOR-E, a mobile quadruped robot with a tablet interface that uses fine-tuned and in-context learning with LLMs to provide personalized, stage-aware cognitive assistance for Alzheimer's patients, including medication reminders and memory interactions, with explainable AI for caregiver oversight.