Adaptive admittance control for human–robot interaction using model reference design and adaptive inverse filtering

I Ranatunga, FL Lewis, DO Popa… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Corobotics involves humans and robots working collaboratively as a team. This requires
physical human-robot interaction (pHRI) systems that can adapt to the preferences of …

An adaptive sliding mode variable admittance control method for lower limb rehabilitation exoskeleton robot

Y Tu, A Zhu, J Song, H Shen, Z Shen, X Zhang, G Cao - Applied Sciences, 2020 - mdpi.com
As passive rehabilitation training with fixed trajectory ignores the active participation of
patients, in order to increase the active participation of patients and improve the effect of …

A passivity-based approach for stable patient–robot interaction in haptics-enabled rehabilitation systems: Modulated time-domain passivity control

SF Atashzar, M Shahbazi, M Tavakoli… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, a novel passivity-based technique is proposed to 1) analyze and 2) guarantee
the stability of haptics-enabled robotic/telerobotic systems when there is a possibility of …

Toward lower limbs functional rehabilitation through a knee-joint exoskeleton

H Rifaï, S Mohammed, K Djouani… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a bounded control strategy of a knee-joint exoskeleton that ensures
knee flexion/extension movements during the assistance and rehabilitation processes. The …

Development of an intention-based adaptive neural cooperative control strategy for upper-limb robotic rehabilitation

Q Wu, Y Chen - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
Robotic rehabilitation therapy has become an important technology to recover the motor
ability of disabled individuals. Clinical studies indicate that involving the active intention of …

Variable admittance time-delay control of an upper limb rehabilitation robot based on human stiffness estimation

Q Wu, Y Chen - Mechatronics, 2023 - Elsevier
This paper proposes a new variable admittance time-delay control strategy based on human
stiffness estimation for improving the effectiveness of robot-assisted cooperative …

A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller

N Wang, C Chen, C Yang - Neurocomputing, 2020 - Elsevier
Robot learning from demonstration (LfD) enables robots to be fast programmed. This paper
presents a novel LfD framework involving a teaching phase, a learning phase and a …

sEMG-based adaptive cooperative multi-mode control of a soft elbow exoskeleton using neural network compensation

Q Wu, Z Wang, Y Chen - IEEE Transactions on Neural Systems …, 2023 - ieeexplore.ieee.org
Soft rehabilitation exoskeletons have gained much attention in recent years, striving to assist
the paralyzed individuals restore motor functions. However, it is a challenge to promote …

A grasp-based passivity signature for haptics-enabled human-robot interaction: Application to design of a new safety mechanism for robotic rehabilitation

SF Atashzar, M Shahbazi… - … Journal of Robotics …, 2017 - journals.sagepub.com
In this paper, the biomechanical capability of the human upper limb in absorbing physical
interaction energy during human-robot interaction is analyzed. The outcome is a graphical …

Robust output feedback assistive control of a compliantly actuated knee exoskeleton

I Kardan, A Akbarzadeh - Robotics and Autonomous Systems, 2017 - Elsevier
The use of compliant actuators in assistive exoskeletons offers an increased level of comfort
for their users. Various control algorithms are presented for assistive exoskeletons, seeking …