The startup develops a wearable robotic device that provides intelligent daily living assistance for individuals with disabilities while collecting and analyzing muscle data for rehabilitation. This technology enables users to enhance their independence and improve their quality of life through targeted muscle recovery insights.
Funding
$250K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Individuals with disabilities often face challenges in performing daily living activities, impacting their independence and quality of life. Current assistive devices may lack intuitive control and personalized adaptation, hindering user satisfaction and effective muscle rehabilitation.
Solution
Manus Robotics develops a wearable robotic device that uses novel multimodal muscle activity sensing technology to provide intelligent assistance for individuals with disabilities. The device employs actively controlled sensors to reach deeper tissue layers and adapt to each user's unique needs. A patented algorithm enables reliable and intuitive control with minimal training, while unique muscle activity mapping offers real-time feedback and analysis. The lightweight and energy-efficient sensor hardware, combined with advanced software, empowers users to enhance their independence and improve their quality of life through targeted muscle recovery insights.
Target Audience
The primary target audience includes individuals with disabilities seeking to improve their independence and quality of life, as well as rehabilitation centers and healthcare providers focused on muscle recovery.
Features
- Novel multimodal muscle activity sensing technology for accurate user intent detection
- Actively controlled sensors that adapt to individual users and reach deeper tissue layers
- Unique muscle activity mapping for real-time feedback and analysis
- Patented algorithm for reliable and intuitive control with minimal training
- Lightweight and energy-efficient sensor hardware for wearable applications