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Priyanshu Agarwal

6 accepted papers

2021

Constant Fluidic Mass Control for Soft Actuators Using Artificial Neural Network Algorithm

IROS 2021poster

Soft fluidic actuators are increasingly being used for wearable haptic devices due to their high energy density and low encumbrance. These actuators are typically controlled using constant fluidic pressure control (CFPC), where the actuator pressure is switched between a high pressure source and atm…

Cited by 1SourceScholar
2019

A Framework for Adaptation of Training Task, Assistance and Feedback for Optimizing Motor (Re)-Learning With a Robotic Exoskeleton

RA-L 2019

Motor (re)-learning using a robotic exoskeleton can be improved by understanding what constitutes the optimal training environment for a subject that can maximize motor learning. We present a framework for motor (re)-learning using a robotic exoskeleton that provides subject-specific training by ada

Cited by 18SourceScholar
2017

Maestro: An EMG-driven assistive hand exoskeleton for spinal cord injury patients

ICRA 2017poster

In this paper, we present an electromyography (EMG)-driven assistive hand exoskeleton for spinal-cord-injury (SCI) patients. We developed an active assistive orthosis, called Maestro, which is light, comfortable, compliant, and capable of providing various hand poses. The EMG signals are obtained fr…

Cited by 107SourceScholar
2016

Accurate torque control of finger joints with UT hand exoskeleton through Bowden cable SEA

IROS 2016poster

The torque control of finger joints is important for effective hand rehabilitation after neural disorders such as stroke. This paper presents an approach for accurate torque control of finger joints with UT hand exoskeleton. We present (1) how we obtained an accurate kinematics model, (2) how we bui…

Cited by 56SourceScholar