This project investigates the impact of cost functions on predictive simulations used in the design of assistive devices, with a focus on human walking simulations in OpenSim Moco. The study explores how choices in cost functions can influence simulation outcomes, which is critical when designing devices such as exoskeletons or prostheses. By examining the sensitivity of key design parameters, like torque and power requirements, to different cost functions, this project aims to improve the accuracy and reliability of assistive device simulations.
💡 Significance: The sensitivity of predictive simulations to cost functions plays a crucial role in determining the performance of assistive devices, making it essential to evaluate these functions thoroughly during the design process.
To explore how varying cost functions impact the results of predictive simulations in assistive device design.
- Musculoskeletal Modeling
- Optimization Techniques
- Biomechanics Simulation Tools (OpenSim Moco)
- Data Analysis and Interpretation
- 🧠 Problem-Solving & Analytical Thinking
- 🔍 Attention to Detail
- 🧩 Predictive Simulation Models: Models simulating human gait and assistive devices.
- 📈 Comparative Analysis: Outcomes based on different cost functions.
- 📊 Reports on Device Parameters: Including torque and power requirements.
- 🎨 Visualizations: Gait patterns and simulation results.
- Software Used: OpenSim Moco for predictive simulations.
- Model Details: Bilaterally symmetric models assuming planar motion.
- Device Comparisons: Includes assistive devices for the hip, knee, and ankle.
- Future Work: This study can be extended to analyze gait under different conditions, such as varying speeds and inclines.