AIMC Topic: Algorithms

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MoBio: A 5 DOF trans-humeral robotic prosthesis.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this paper, a 5 DOF trans-humeral robotic prosthesis: MoBio is proposed. MoBio includes 2 DOF at wrist which is rare in other trans-humeral prostheses. Through anthropometric features MoBio prosthetic arm can achieve elbow flexion/extension, forea...

Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Prosthetic arms should restore and extend the capabilities of someone with an amputation. They should move naturally and be able to perform elegant, coordinated movements that approximate those of a biological arm. Despite these objectives, the contr...

Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor data available to a conventional or machine learning prosthetic control system increases in dimensiona...

Estimating anatomical wrist joint motion with a robotic exoskeleton.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robotic exoskeletons can provide the high intensity, long duration targeted therapeutic interventions required for regaining motor function lost as a result of neurological injury. Quantitative measurements by exoskeletons have been proposed as measu...

Piecewise and unified phase variables in the control of a powered prosthetic leg.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Many control methods have been proposed for powered prosthetic legs, ranging from finite state machines that switch between discrete phases of gait to unified controllers that have a continuous sense of phase. In particular, recent work has shown tha...

Adaptive control of an exoskeleton robot with uncertainties on kinematics and dynamics.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this paper, we propose a new adaptive control technique based on nonlinear sliding mode control (JSTDE) taking into account kinematics and dynamics uncertainties. This approach is applied to an exoskeleton robot with uncertain kinematics and dynam...

Preliminary results toward a naturally controlled multi-synergistic prosthetic hand.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robotic hands embedding human motor control principles in their mechanical design are getting increasing interest thanks to their simplicity and robustness, combined with good performance. Another key aspect of these hands is that humans can use them...

A learning-based agent for home neurorehabilitation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functio...

Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Control methods based on sEMG obtained promising results for hand prosthetics. Control system robustness is still often inadequate and does not allow the amputees to perform a large number of movements useful for everyday life. Only few studies analy...

Adaptive learning to speed-up control of prosthetic hands: A few things everybody should know.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Domain adaptation methods have been proposed to reduce the training efforts needed to control an upper-limb prosthesis by adapting well performing models from previous subjects to the new subject. These studies generally reported impressive reduction...