Research Programme: Robotics and Advanced Mechatronics Systems - Automatics

Italian Ministry of Education, University and Research; Italia; In loco; EUR 42.000 - 58.000; Tempo pieno

Descrizione del lavoro

Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA CNR in Italy seeks researchers to develop neural motion control methods for robots operating with humans and in dynamic environments. The project focuses on physics-based models combined with neural learning, aiming for autonomy, safety, and high performance.

The research will investigate perception and decision-making under operational constraints, modelling interactions with heterogeneous data,

Competenze

• Eligibility of fellows: country/ies of residence: OTHER.

Mansioni

• Develop Neural Motion Control methods for robotic systems operating in dynamic, human-shared environments.

Descrizione del lavoro

Organisation/Company Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA CNR Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 8 Oct 2026 - 18:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The research activity will focus on developing Neural Motion Control methods for robotic systems operating in dynamic, human-shared environments. The objective is to design control architectures that combine physics-based robot models with neural learning techniques to achieve autonomy, adaptability, safety, and high performance. The research focus will be on human-robot and robot-environment interactions by modelling perception and decision-making processes under operational constraints and changing conditions. The research will investigate interaction models using heterogeneous sensory data and techniques for extracting meaningful representations of system states and actor intentions. Activities will also include developing elastodynamic robot models based on Physics-Informed Neural Networks (PINNs). Hybrid controllers integrating model-based control and neural algorithms will be designed and validated through simulation and experiments on real robotic platforms.

• Italy

Eligibility of fellows: country/ies of residence:

• OTHER