Claudia Latella

Robotics Engineer


claudia.latella.86@gmail.com
iit.it/people/claudia-latella
ORCID:0000-0003-4792-4588
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@clatella86

I am a Bioengineer with a PhD in Cognitive Robotics, Interaction and Rehabilitation Technologies. I current work in the Artificial and Mechanical Intelligence (AMI) at Istituto Italiano di Tecnologia, Genoa, Italy. My scientific interests include human modeling, biomechanics and human dynamics estimation for physical human-robot interaction. My non-scientific interests include cooking (spare-time blogger at Pomodori al Sole), reading and photography.

Latella, C., et al. ‘Real-time Lower Leg Muscle Forces Estimation Using a Hill-type Model and Whole-body Wearable Sensors’. 5th Italian Conference in Robotics and Intelligent Machines (I-RIM), 2023. URL
Latella, C., et al. ‘Evaluation of Lower Limb Muscle Forces Using the Hill-Type Model and Wearable Sensors’. XXIII Congress on Human Movement for Clinical Scenarios, Sports and Industrial (SIAMOC), 2023. URL
Valli, E., Latella, C. et al. ‘A Whole-Body Wearable Device for Motor Function Monitoring: Testing iFeel Technology in PwMS’. Annual Rehabilitation in Multiple Sclerosis (RIMS) Conference, 2023. URL
Latella, C., Tirupachuri, Y. et al. ‘Analysis of Human Whole-Body Joint Torques During Overhead Work With a Passive Exoskeleton’. IEEE Transactions on Human-Machine Systems, 2021, pp. 1–9. URL
Tirupachuri, Y., et al. ‘Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment’. IEEE Access, vol. 9, 2021, pp. 123260–79. URL
Rapetti, L., et al. ‘Model-Based Real-Time Motion Tracking Using Dynamical Inverse Kinematics’. Algorithms, vol. 13, no. 10, Oct. 2020, p. 266. URL
Sorrentino, I., et al. ‘A Novel Sensorised Insole for Sensing Feet Pressure Distributions’. Sensors, vol. 20, no. 3, Jan. 2020, p. 747. URL
Maurice, P., et al. ‘Objective and Subjective Effects of a Passive Exoskeleton on Overhead Work’. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 1, Jan. 2020, pp. 152–64. URL
Tirupachuri, Y., et al. ‘Towards Partner-Aware Humanoid Robot Control Under Physical Interactions’. Intelligent Systems and Applications. IntelliSys 2019, Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham. URL
Latella, C., Traversaro, S., et al. ‘Simultaneous Floating-Base Estimation of Human Kinematics and Joint Torques’. Sensors, vol. 19, no. 12, June 2019, p. 2794. URL
Latella, C. ‘Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction’. Arxiv, University of Genoa, Mar. 2018. URL
Latella, C., Lorenzini, M. et al. ‘Towards Real-Time Whole-Body Human Dynamics Estimation Through Probabilistic Sensor Fusion Algorithms: A Physical Human–Robot Interaction Case Study’. Autonomous Robots, vol. 43, 2019, pp. 1591–603. URL
Latella, C., Tagliapietra, L. et al. ‘Advancing Human-Robot Collaboration Through Online Human Inverse Dynamics Estimation’. 2018 IEEE Workshop on Advanced Robotics and Its Social Impacts (ARSO), IEEE, 2018, pp. 21–22. URL
Romano, F., et al. ‘The CoDyCo Project Achievements and Beyond: Toward Human Aware Whole-Body Controllers for Physical Human Robot Interaction’. IEEE Robotics and Automation Letters, vol. 3, no. 1, Jan. 2018, pp. 516–23. URL
Latella, C., Kuppuswamy, N., et al. ‘Whole-Body Human Inverse Dynamics With Distributed Micro-Accelerometers, Gyros and Force Sensing’. Sensors, vol. 16, no. 5, May 2016, p. 727. URL
Latella, C., et al. ‘Influence of Strain Rate on the Mechanical Behaviour in Tension of Bovine Cortical Bone’. EPJ Web of Conferences, edited by E. Cadoni, vol. 94, 2015, p. 03001. URL

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