← Search

Vivian K. Mushahwar

4 accepted papers

2023

Deep Reinforcement Learning based Personalized Locomotion Planning for Lower-Limb Exoskeletons

ICRA 2023poster

This paper introduces intelligent central pattern generators (iCPGs) that can plan personalized walking trajectories for lower-limb exoskeletons. This can make walking more comfortable for the users by resolving one of the significant shortcomings of most commercially available exoskeletons, which i…

Cited by 7SourceScholar
2021

Adaptive CPG-Based Gait Planning With Learning-Based Torque Estimation and Control for Exoskeletons

RA-L 2021

In this letter, a new adaptable gait trajectory shaping method is proposed for lower-limb exoskeletons by defining central pattern generators (CPGs). These CPGs are synchronized across different joints and updated online in response to the human users' physical behavior to enhance their safety and c

Cited by 42SourceScholar
2021

Human-Robot Collaboration for Heavy Object Manipulation: Kinesthetic Teaching of the Role of Wheeled Mobile Manipulator

IROS 2021poster

Human-robot collaboration (HRC) significantly extends robotic systems’ applications when working in spaces like houses, hospitals, or laboratories. However, new challenges appear during a close collaboration between humans and robots and imitating the movement of humans by robots. Learning from demo…

Cited by 11SourceScholar
2021

Intelligent Locomotion Planning With Enhanced Postural Stability for Lower-Limb Exoskeletons

RA-L 2021

In this letter, an integrated control strategy is developed for both locomotion trajectory planning and postural stability, enabling shared autonomy between the human and lower-limb exoskeleton. Divergent component of motion (DCM) analysis was employed previously based on the linear inverted pendulu

Cited by 22SourceScholar