Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017
Currently, a large number of industrial robots have been deployed to replace or assist
humans to perform various repetitive and dangerous manufacturing tasks. However, based …
humans to perform various repetitive and dangerous manufacturing tasks. However, based …
A review of intent detection, arbitration, and communication aspects of shared control for physical human–robot interaction
DP Losey, CG McDonald… - Applied …, 2018 - asmedigitalcollection.asme.org
As robotic devices are applied to problems beyond traditional manufacturing and industrial
settings, we find that interaction between robots and humans, especially physical interaction …
settings, we find that interaction between robots and humans, especially physical interaction …
Principles of human movement augmentation and the challenges in making it a reality
Augmenting the body with artificial limbs controlled concurrently to one's natural limbs has
long appeared in science fiction, but recent technological and neuroscientific advances …
long appeared in science fiction, but recent technological and neuroscientific advances …
Learning robot objectives from physical human interaction
When humans and robots work in close proximity, physical interaction is inevitable.
Traditionally, robots treat physical interaction as a disturbance, and resume their original …
Traditionally, robots treat physical interaction as a disturbance, and resume their original …
Computational neurorehabilitation: modeling plasticity and learning to predict recovery
Despite progress in using computational approaches to inform medicine and neuroscience
in the last 30 years, there have been few attempts to model the mechanisms underlying …
in the last 30 years, there have been few attempts to model the mechanisms underlying …
A review of human–machine cooperation in the robotics domain
Artificial intelligence (AI) technology has greatly expanded human capabilities through
perception, understanding, action, and learning. The future of AI depends on cooperation …
perception, understanding, action, and learning. The future of AI depends on cooperation …
Force, impedance, and trajectory learning for contact tooling and haptic identification
Humans can skilfully use tools and interact with the environment by adapting their
movement trajectory, contact force, and impedance. Motivated by the human versatility, we …
movement trajectory, contact force, and impedance. Motivated by the human versatility, we …
Continuous role adaptation for human–robot shared control
In this paper, we propose a role adaptation method for human-robot shared control. Game
theory is employed for fundamental analysis of this two-agent system. An adaptation law is …
theory is employed for fundamental analysis of this two-agent system. An adaptation law is …
Physically interacting individuals estimate the partner's goal to enhance their movements
From a parent helping to guide their child during their first steps, to a therapist supporting a
patient, physical assistance enabled by haptic interaction is a fundamental modus for …
patient, physical assistance enabled by haptic interaction is a fundamental modus for …
Differential game theory for versatile physical human–robot interaction
The last decades have seen a surge of robots working in contact with humans. However,
until now these contact robots have made little use of the opportunities offered by physical …
until now these contact robots have made little use of the opportunities offered by physical …