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The Task-Dependent Efficacy of Shared-Control Haptic Guidance Paradigms

A Lyapunov Approach for SOSM Based Velocity Estimation and its Application to Improve Bilateral Teleoperation Performance

Comparison of Reaching Kinematics During Mirror and Parallel Robot Assisted Movements

Spatial and Temporal Movement Characteristics after Robotic Training of Arm and Hand: A Case Study of a Person with Incomplete Spinal Cord Injury

Robotic Training and Kinematic Analysis of Arm and Hand after Incomplete Spinal Cord Injury: A Case Study.

About us

The MAHI Lab focuses on the design, manufacture, and evaluation of mechatronic or robotic systems to model, rehabilitate, enhance or augment the human sensorimotor control system. To this end, we employ analytical and experimental approaches from the field of dynamic systems and controls, with inspiration from human motor control and neuroscience. We are also engaged in the development of novel approaches for teaching dynamic systems and controls. See our recent videos.

Application of Levant’s Differentiator for Velocity Estimation and Increased Z-Width in Haptic Interfaces

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Mechatronics and Haptic Interfaces Lab at Rice University

Mechanical Engineering Department, MS 656, 713-348-2300
Bioscience Research Collaborative 980, Houston, TX 77030