Résultats pour
🤖 What does it take to make robotic motion feel… human?
In this session, Tetsushi Sotowa shares how NSK is combining advanced control techniques with deep learning to enable human‑like grasping in electric grippers
You’ll see a real‑world case study featuring:
- Bilateral and force control systems developed in‑house
- MATLAB and Simulink–based control workflows
- Deep learning integration using Deep Learning Toolbox
- A practical path from mechatronics research to intelligent actuation
The result: an AI‑enhanced actuator capable of more natural, responsive grasping—bringing robotics one step closer to human motion.
👉 Interested in AI‑driven robotics and advanced control? Check out the session now from MATLAB EXPO 2025.
🚀 Unlock Smarter Control Design with AI
What if AI could help you design better controllers—faster and with confidence?
In this session, Naren Srivaths Raman and Arkadiy Turevskiy (MathWorks) show how control engineers are using MATLAB and Simulink to integrate AI into real-world control design and implementation.
You’ll see how AI is being applied to:
🧠 Advanced plant modeling using nonlinear system identification and reduced order modeling
📡 Virtual sensors and anomaly detection to estimate hard-to-measure signals
🎯 Datadriven control design, including nonlinear MPC with neural statespace models and reinforcement learning
⚡ Productivity gains with generative AI, powered by MATLAB Copilot
