Physical Human-Robot Interaction

239 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Learning from Physical Human Corrections, One Feature at a Time (2018, background): “Traditionally, the human’s interactions are treated in one of three ways [9]: as disturbances to be rejected [5, 12, 23], as collisions to be detected and avoided [4], or as operator signals to be followed by switching into a compliant mode [8, 10, 14].”
Kinova Modular Robot Arms for Service Robotics Applications (2017, background): “In order for this new collaboration to be possible, robots must be safe, intuitive and have a better understanding of their environment (De Santis et al, 2008; Haddadin and Croft, 2016).”
Electronic skins and machine learning for intelligent soft robots (2020, background): “Because reaction typically involves HRI, additional challenges arise from safety, context prediction, and adaptation ( 106 , 107 ).”
Learning Robot Objectives from Physical Human Interaction (2017, methodology): “We use impedance control, which allows people to change the robot’s state by exerting torques, and provides compliance for human safety [19, 6, 1].”