Added Manufacturing page (not definitive), added YouTube link and upd…

…ated Saveriano's profile.

content/_index.md

@@ -16,13 +16,11 @@ sections:
         
         The **Interdepartmental Robotics Labs** (IDRA) is a strategic initiative of the University of Trento to combine expertise in different areas within the robotics research. It involves the Department of Industrial Engineering (DII) and the Department of Information Engineering and Computer Science (DISI).
 
-        The Department of Industrial Engineering (DII) performs research, training, and teaching  in the sectors of Industrial Engineering, in particular in mechanics, mechatronics, materials engineering, electronic-and micro-electronics systems, mananagerial information systems, and optimization methods and models to support decision making. 
+        The [Department of Industrial Engineering (DII)](www.dii.unitn.it) performs research, training, and teaching  in the sectors of Industrial Engineering, in particular in mechanics, mechatronics, materials engineering, electronic-and micro-electronics systems, mananagerial information systems, and optimization methods and models to support decision making. 
 
-        The Department of Information Engineering and Computer Science (DISI) Is a leading institution in research and development in the area of Information and Communication Technology (ICT), and in particular in the field of software engineering, signal processing, networks and sensing, machine learning, quantum computing, and human-computer interaction.
+        The [Department of Information Engineering and Computer Science (DISI)](www.disi.unitn.it) is a leading institution in research and development in the area of Information and Communication Technology (ICT), and in particular in the field of software engineering, signal processing, networks and sensing, machine learning, quantum computing, and human-computer interaction.
 
-        You can get more info about DII and DISI at the following links: 
-          www.dii.unitn.it
-          www.disi.unitn.it
+        Take a look to the latest videos of our research in our [YouTube page](https://www.youtube.com/@idra-unitninterdep.institu8477)!
   
   - block: collection
     content:

content/authors/roverimarco/_index.md → content/authors/marcoroveri/_index.md

@@ -8,7 +8,7 @@ last_name: Roveri
 
 # Username (this should match the folder name)
 authors:
-  - roverimarco
+  - marcoroveri
 
 # Is this the primary user of the site?
 superuser: false

content/authors/matteosaveriano/_index.md

@@ -14,7 +14,7 @@ authors:
 superuser: false
 
 # Role/position
-role: Assistant Professor
+role: Associate Professor
 
 # Organizations/Affiliations
 organizations:
@@ -71,8 +71,8 @@ email: ''
 # Organizational groups that you belong to (for People widget)
 #   Set this to `[]` or comment out if you are not using People widget.
 user_groups:
-  - Researchers
+  - Professors
 ---
 
-Currently, Matteo is an Assistant Professor at the Department of Industrial Engineering (DII), University of Trento, Italy. He has previously served as an Assistant Professor at the University of Innsbruck and as a Postdoctoral Researcher at the German Aerospace Center (DLR). He is an Associate Editor for RA-L and IJRR. He is the coordinator of the HE EU INVERSE project.
+Currently, Matteo is an Associate Professor at the Department of Industrial Engineering (DII), University of Trento, Italy. He has previously served as an Assistant Professor at the University of Innsbruck and as a Postdoctoral Researcher at the German Aerospace Center (DLR). He is an Associate Editor for RA-L and IJRR. He is the coordinator of the HE EU INVERSE project.
 

content/research/manufacturing/index.md

@@ -0,0 +1,70 @@
+---
+title: Intelligent Manufacturing Robotics
+toc: true
+reading_time: false
+pager: false
+show_date: false
+authors: [matteosaveriano, marcoroveri, songchungao, matteodallevedove, elenabasei, veronicacampana, edoardolamon, luigipalopoli, danielefontanelli]
+summary: |-
+ Robotics and artificial intelligence are revolutionising the manufacturing industry by enabling greater efficiency, precision, and adaptability. We focus on making robots adaptable to a changing working landscape in which humans and intelligent machines are asked to cooperate in a cohesive manner, relieving the human worker from repetitive, unergonomic and unhealthy tasks.
+---
+
+## Overview
+
+Robotics involves the design and deployment of automated machines that can perform complex tasks such as assembly and disassembly, polishing and quality inspection with minimal human intervention. AI enhances these systems by equipping them with the ability to analyse data, learn from patterns and human behaviours, and make decisions in real-time, enabling smarter, healthier and more flexible production processes. Together, the IDRA robotics and AI solutions contribute to advancements like **human aware motion planning**, **imitation and transfer learning**, **flexible localisation and estimation** and **activity scheduling and motion planning**, driving innovation in modern manufacturing.
+
+### Human Aware Motion Planning
+
+Human-aware motion planning is a critical aspect of modern manufacturing, where robots (or cobots) and humans increasingly collaborate in shared workspaces. This approach ensures that robotic systems can operate efficiently while prioritising human safety and comfort. Also, this approach not only enhances safety but also improves productivity by enabling smoother and more intuitive collaboration between humans and robots, paving the way for more adaptive and human-centric manufacturing environments.  Our research aims to:
+
+- Human motion models leveraging sensors, machine learning, and predictive algorithms. 
+- Stochastic predictions and classification of human motions.
+- Safe reactive motion planning, reactive control and safe reinforcement learning.
+
+
+<!-- ### Imitation and transfer learning (Matteo)
+
+TBD
+
+- TBD
+- TBD
+- TBD -->
+
+
+### Flexible localisation and estimation
+
+In modern manufacturing, localisation of Automated Guided Vehicles (AGVs) is vital for efficient navigation and material handling. Accurate position tracking ensures seamless movement and reduces operational delays. Robot state estimation complements this by providing real-time data on the robot's position, orientation, and operational state, enabling precise task execution. Ergodic control optimises robot motion by ensuring uniform exploration of a workspace, balancing efficiency and thoroughness in tasks like inspection or material distribution. Together, these technologies enhance manufacturing automation, improve workflow efficiency, and minimise errors. Key features of our research include:
+
+- Advanced sensor fusion techniques and machine learning-based models for robust robot localisation in dynamic manufacturing environments.
+- Adaptive ergodic control strategies for multi-robot systems and active sensing in large-scale manufacturing facilities.
+- Autonomous decision-making systems for dynamic task allocation based on robot state estimation.
+
+
+<!-- ### Activity scheduling and motion planning (Marco, Luigi)
+
+TBD - add orienteering
+
+- TBD
+- TBD
+- TBD -->
+
+
+## The Team
+
+- [Matteo Saveriano](/author/edoardo-lamon/) - Professor
+- [Marco Roveri](/author/davide-nardi/) - Professor
+- [Songchun Gao](/author/luca-beber/) - Researcher
+- [Matteo Dalle Vedove](/author/) - PhD Student
+- [Elena Basei](/author/) - PhD Student
+- [Veronica Campana](/author/) - PhD Student
+- [Edoardo Lamon](/author/edoardo-lamon/) - Collaborator
+
+## Publications and Events
+
+For detailed information on our research and publications, visit our [publications page](/publication/).
+
+## Contact Us
+
+For more information about our research or to collaborate with us, please contact [[email protected]](mailto:[email protected]).
+
+---

content/research/medical/index.md

@@ -1,12 +1,12 @@
 ---
-title: Medical and Assistive Robotics 
+title: Assistive and Medical Robotics 
 toc: true
 reading_time: false
 pager: false
 show_date: false
-authors: [edoardolamon, lucabeber, davidenardi, matteosaveriano, luigipalopoli, danielefontanelli]
+authors: [edoardolamon, lucabeber, davidenardi, matteosaveriano, danielefontanelli, luigipalopoli]
 summary: |-
- The medical robotics research is at the forefront of integrating advanced robotics with medical applications. We focus on two primary areas: teleoperated robotic ultrasound examinations and autonomous robotic palpation for cancer detection. Our goal is to enhance the precision, safety, and efficiency of medical procedures through cutting-edge robotic technologies.
+ The goal of assistive and medical robotics research is to enhance the precision, safety, and efficiency of medical procedures through cutting-edge robotic technologies. We focus on two primary areas: teleoperated robotic ultrasound examinations and autonomous robotic palpation for cancer detection.
 ---
 
 ## Overview