Lorenzo Masia

Heidelberg University

Research Interests

Human-robot Interaction

Wearable Technology

Multibody Dynamics

Mobile Robotics

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Articles(15)

Collaborators(8)

Peter Wolf

Antonio Frisoli

Full Professor

Scuola Superiore Sant'Anna

Robert Riener

Full Professor, Double-Professorship with the University of Zurich

Loris Roveda

Seng Kwee Wee

Associate Professor

Singapore Institute of Technology

Juergen Konczak

University of Minnesota

UNITED STATES

Alessio Merola

Dino Accoto

Lorenzo Masia

Hybrid Rigid-Soft and Pneumatic-Electromechanical Exoskeleton for Multi-Joint Lower Limb Assistance

Integrating Computer Vision in Exosuits for Adaptive Support and Reduced Muscle Strain in Industrial Environments

Real-Time Assistive Control via IMU Locomotion Mode Detection in a Soft Exosuit: An Effective Approach to Enhance Walking Metabolic Efficiency

Real-Time Continuous Locomotion Mode Recognition and Transition Prediction for Human With Lower Limb Exoskeleton

Environment-Based Assistance Modulation for a Hip Exosuit via Computer Vision

Bimanual Motor Strategies and Handedness Role in Human-Robot Haptic Interaction

Combining FES and Exoskeletons in a Hybrid Haptic System for Enhancing VR Experience

Myoelectric or Force Control? A Comparative Study on a Soft Arm Exosuit

Soft Robotic Suits: State of the Art, Core Technologies, and Open Challenges

Correction to: Effects of a robot‐aided somatosensory training on proprioception and motor function in stroke survivors

Rendering Immersive Haptic Force Feedback via Neuromuscular Electrical Stimulation

Enhancing Gait Assistance Control Robustness of a Hip Exosuit by Means of Machine Learning

Rigid, Soft, Passive, and Active: A Hybrid Occupational Exoskeleton for Bimanual Multijoint Assistance

Design, Computational Modelling and Experimental Characterization of Bistable Hybrid Soft Actuators for a Controllable-Compliance Joint of an Exoskeleton Rehabilitation Robot

Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients