Autonomy in physical human-robot interaction: A brief survey
Sharing the control of a robotic system with an autonomous controller allows a human to
reduce his/her cognitive and physical workload during the execution of a task. In recent …
reduce his/her cognitive and physical workload during the execution of a task. In recent …
World models and predictive coding for cognitive and developmental robotics: Frontiers and challenges
Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
Neural control of robot manipulators with trajectory tracking constraints and input saturation
This article presents a control scheme for the robot manipulator's trajectory tracking task
considering output error constraints and control input saturation. We provide an alternative …
considering output error constraints and control input saturation. We provide an alternative …
Adaptive-constrained impedance control for human–robot co-transportation
Human–robot co-transportation allows for a human and a robot to perform an object
transportation task cooperatively on a shared environment. This range of applications raises …
transportation task cooperatively on a shared environment. This range of applications raises …
Human-robot co-carrying using visual and force sensing
In this article, we propose a hybrid framework using visual and force sensing for human-
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …
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 …
Prediction of human activity patterns for human–robot collaborative assembly tasks
It is widely agreed that future manufacturing environments will be populated by humans and
robots sharing the same workspace. However, the real collaboration can be sporadic …
robots sharing the same workspace. However, the real collaboration can be sporadic …
Self-configuring robot path planning with obstacle avoidance via deep reinforcement learning
B Sangiovanni, GP Incremona… - IEEE Control Systems …, 2020 - ieeexplore.ieee.org
This letter proposes a hybrid control methodology to achieve full body collision avoidance in
anthropomorphic robot manipulators. The proposal improves classical motion planning …
anthropomorphic robot manipulators. The proposal improves classical motion planning …
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 …