Human–robot interaction review and challenges on task planning and programming

By Panagiota Tsarouchi, Sotiris Makris, George Chryssolouris. International journal of computer integrated manufacturing (Print), 2016

351 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/f9a81c6bd26c9a44cf229bc66c5a1fc901295e1d

How researchers see this paper

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

In Control and Systems Engineering

In Mechanical Engineering

In Human-Computer Interaction

Citations in the corpus

Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017 (2019, background): “This approach selected an initial allocation pattern that can potentially minimize the expected total production costs while taking into consideration possible changes in the product models and the volumes demanded in the future [221].”
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “Note that the human–robot interaction is a long-standing research topic that special efforts have been made in task planning and programming [239], safe interaction [138], and imitation learning [240].”
Service robots in hotels: understanding the service quality perceptions of human-robot interaction (2019, background): “Robot mobility and HRI are functions by which humans distinguish robots from other kinds of technology (Tsarouchi et al., 2016).”
Symbiotic human-robot collaborative assembly (2019, background): “The wide interest of research and industry in the HRC related topics is proportional to the increased productivity and flexibility of production lines, as it combines human and robot capabilities [9,234].”
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications (2018, background): “This can be achieved by considering human-friendly input modes, such as speech, gesture, eye tracking, facial expression, haptics, in addition to the traditional ones, namely keyboard, mouse, monitor, touchpad and touchscreen [20].”