Journal
IEEE SENSORS JOURNAL
Volume 20, Issue 18, Pages 10355-10370Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2020.2995271
Keywords
Robot sensing systems; Collaboration; Task analysis; Electromyography; Electroencephalography; Physical human-robot interaction; multi-modal fusion; spatio-temporal sharing; multi-modal; multi-task
Funding
- Special Program for Innovation Method of the Ministry of Science and Technology, China [2018IM020100]
- National Key Scientific Instruments and Equipment Development Program of China [2016YFF0101602, 2016YFC0104104]
- National Natural Science Foundation of China [51675329, 51675342, 51775332]
- State Key Laboratory of Smart Manufacturing for Special Vehicles and Transmission System [GZ2016KF001]
- Cross Fund for Medical and Engineering of Shanghai Jiao Tong University [YG2017QN61]
Ask authors/readers for more resources
Recent advances in physical Human-Robot Interaction (pHRI) have shown the potential and feasibility of robot systems for active and safe collaboration with humans. This induces high demand for real-time perception about the dynamic unity formed by robot, human, environment and operating objects. Single sensory modality is inadequate to give a robust estimate of the state of the unity. This paper provides a comprehensive review of state-of-the-art multi-modal fusion methods exploring their classifications, feasibilities and challenges based on the fact that pHRI is spatio-temporal sharing, multi-modal and multi-task. Finally, several directions of research are recommended based on the discussion of multi-modal fusion methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available