Project Details
Description
This project proposes the development of RoboLift, a wearable robotic device designed to promote correct posture during load lifting tasks. The system integrates continuous monitoring of posture through inertial measurement units (IMUs), optical and depth cameras, with real-time processing based on machine learning models to detect hazardous movements. A multimodal feedback approach is implemented, combining localized haptic pressure, vibrotactile alerts, and visual indicators to guide the user toward safe postural alignment. Additionally, a supervision and adaptation interface, executed on a Raspberry Pi or portable PC, allows adjustment of alert thresholds, postural history tracking, and ergonomic report generation. The expected outcomes include reducing the incidence of lower back pain, strengthening workers’ autonomy in adopting safe habits, and mitigating costs associated with musculoskeletal disorders in occupational settings.
Keywords
Wearable Robotics, Haptic Feedback, Posture Correction, Exoskeletons
Commitments / Obligations
Expected Outcomes
- Wearable robotic device: Development of a wearable robotic device designed to be used on the back of operators performing repetitive movements or deadweight lifting. This device will provide real-time feedback to correct poor posture during such activities.
- Injury prevention and increased productivity: Real-time feedback focused on correcting risky postures will help reduce back pain and lumbar injuries. By promoting ergonomic postures during repetitive movements or load lifting, muscle fatigue and associated discomfort are minimized, reducing unnecessary breaks and improving overall work performance.
- Ergonomic standardization: The postural assessment subsystem will facilitate the implementation of best practices when performing repetitive movements or weightlifting.
- Continuous training: Personalized feedback reinforces proper lifting habits over the long term.
- Innovation and knowledge transfer: Development of a device that integrates three feedback interfaces—visual, haptic, and pressure-based. These interfaces will be embedded in a wearable garment, together forming a robotic wearable system that promotes correct posture. Being a local development, this project fosters research in wearable robotics and opens opportunities for potential patents.
- Wearable robotic device: Development of a wearable robotic device designed to be used on the back of operators performing repetitive movements or deadweight lifting. This device will provide real-time feedback to correct poor posture during such activities.
- Injury prevention and increased productivity: Real-time feedback focused on correcting risky postures will help reduce back pain and lumbar injuries. By promoting ergonomic postures during repetitive movements or load lifting, muscle fatigue and associated discomfort are minimized, reducing unnecessary breaks and improving overall work performance.
- Ergonomic standardization: The postural assessment subsystem will facilitate the implementation of best practices when performing repetitive movements or weightlifting.
- Continuous training: Personalized feedback reinforces proper lifting habits over the long term.
- Innovation and knowledge transfer: Development of a device that integrates three feedback interfaces—visual, haptic, and pressure-based. These interfaces will be embedded in a wearable garment, together forming a robotic wearable system that promotes correct posture. Being a local development, this project fosters research in wearable robotics and opens opportunities for potential patents.
| Short title | A Wearable Robotic Device to Ensure Proper Posture |
|---|---|
| Acronym | RoboLift |
| Status | Active |
| Effective start/end date | 2/2/26 → 8/15/27 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
-
SDG 9 Industry, Innovation, and Infrastructure
Main Funding Source
- Small Amount
Location
- Bogotá D.C.
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