DYNAMICA

Collaborative Robotics & Mixed Reality

Intuitive Programming

Break down the barriers of traditional coding. Operators can now manage robotic actions through natural hand gestures and AI-assisted interpretation, translating human intent directly into machine execution.

Mixed Reality Training

Safely master complex robotic operations within highly immersive virtual simulators. The boundaries between physical hardware and digital environments dissolve, providing a realistic, risk-free training arena.

AI Agents

Equipped with advanced machine learning algorithms, the system actively anticipates operator movements. By predicting human intentions in real-time, the robotic system seamlessly adapts, ensuring perfectly synchronized collaboration.

Description

DYNAMICA represents a paradigm shift in human-robot collaboration. By combining advanced AI agents with immersive mixed reality interfaces, the project enables operators to interact with robotic systems through natural gestures and intuitive commands. This research bridges the gap between complex industrial automation and human-centric operation, featuring real-time intent prediction algorithms, virtual training simulators, and seamless physical-digital integration. DYNAMICA redefines how we teach, control, and collaborate with autonomous systems in dynamic environments.

Publications

Predictive AI Agents for Human-Robot Collaboration in Dynamic Environments

Doe J., Smith J., Turing A.

International Journal of Social Robotics, vol. 16, pp. 245-256

Mixed Reality Interfaces for Intuitive Robotic Arm Programming

Lovelace A., Doe J., Smith J.

IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 4

Towards Seamless Integration of Digital Twins and Physical Manipulation

Smith J., Turing A., Lovelace A.

Computer-Aided Design, vol. 154, art. no. 103412

Funding

Produced within the PRIN project framework, focused on dynamic interactions and control in multi-agent robotic systems.