1st June 2026, Workshop:

Signals in Sync: Multi-Modal Interfaces and AI-Driven Control for Next-Gen Prosthetics

@ 2026 IEEE International Conference on Robotics and Automation
Vienna, Austria

Overview

The next generation of Neuroprosthetic devices demands control systems that are accurate, adaptive, and seamlessly integrated with the user. This workshop brings together leading researchers at the intersection of neuroscience, robotics, and artificial intelligence to explore how diverse sensing modalities and advanced machine learning can be fused into robust, human-centric control architectures.

Key Topics

Multi-Modal User Intent Detection:
- Combining EMG, EEG, mechanomyography, ultrasound, IMUs, and other biosignals for accurate, robust, context-aware decoding.
Continuous and Intuitive Control:
- Moving beyond discrete gestures to smooth, adaptive motion via regression, hybrid, and reinforcement learning approaches.
Physics-Informed and Model-Driven Machine Learning:
- Applying bio-mechanical models, musculoskeletal dynamics, and energy constraints to improve generalization, reduce data needs, and ensure safe closed-loop control.
Compliance as a Control Asset:
- Using soft robotics’ compliance and modeling to simplify control, improve stability, and enable accurate state estimation.
Ethics, Safety, and Responsible Deployment:
- Addressing data privacy, bias, and safety requirements for continuous, AI-driven neuroprosthetic control.