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Welcome to Emanuele Ruffaldi's Website

Curriculum Vitae
Business Card

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Current Research Projects

Two new EU grants accepted, in one of them I am partner PI (PELARS), the other researcher (REMEDI).

Activities with my group "Sensing, Modelling and Learning for Humans" at PERCRO:

  • Virtual Human Haptic interaction (EU VERE project)
  • Wearable Human motion and force tracker (ERGANE project)
  • Machine Learning for Robotics
  • Anomaly identification in power plants (italian utility funded)

Recent Publications Submitted


  • Sensor fusion for complex articulated body tracking applied in rowing, Journal Sport Technology


  • A Networked Haptic Embedded Controller, SIES 2014
  • Assessment of task ergonomics with an upper limb wearable device, MED 2014
  • A novel wearable biometric capture system, MED 2014
  • Evaluation of Virtual Embodiment with the ALEX Exoskeleton, EH 2014
  • Preliminary stiffness perception assessment for a palpation haptic interface, EH 2014
  • A ROS-integrated architecture to learn manipulation tasks from a single demonstration, RO-MAN 2014
  • Toward Autonomous Robots for Demolitions in Unstructured Environments,

Recent Publications Accepted

  • Corucci, Ruffaldi, "Toward Autonomous Robots for Demolitions in Unstructured Environments",International Conference on Intelligent Autonomous Systems IAS13, Padova, Italy
  • Ruffaldi, Peppoloni, Filippeschi, Avizzano “A novel approach to motion tracking with wearable sensors based on Probabilistic Graphical Models”, IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014
  • Johard, Ruffaldi, “A connectionist actor-critic algorithm for faster learning and biological plausibility”, IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014
  • Poster at MMVR 2014 as part of the REMEDI Project. Angelika Peer et al. "Towards a Remote Medical Diagnostician for Medical Examination"
  • Filippeschi A., Ruffaldi E., "Boat dynamics and force rendering models for the SPRINT system" (2014, in press), IEEE Transaction on Human-Machine Systems (IF 2.1 in 2012)