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Acoustic Simulation in Dynamic Environments for Robot Audition
European Signal Processing Conference, 2019This paper addresses acoustic simulation in dynamic environments for robot audition. For such environments, we consider three cases, that is, a moving microphone, a moving sound source, and a combination of the two.
Zhaofeng Zhang +3 more
semanticscholar +1 more source
Signal Restoration based on Bi-directional LSTM with Spectral Filtering for Robot Audition
IEEE International Symposium on Robot and Human Interactive Communication, 2018This paper addresses restoration of acoustic signals for robot audition. A robot usually listens to target acoustic signals such as speech and music in noisy conditions. Acoustic information on such signals inevitably contaminated with noise.
Ryosuke Taniguchi +4 more
semanticscholar +1 more source
Robot audition: Its rise and perspectives
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015The ability of robots to listen to several things at once with their own “ears”, that is, robot audition, is an important factor in improving interaction and symbiosis between humans and robots.
Hiroshi G. Okuno, K. Nakadai
semanticscholar +1 more source
A Tissue Adhesion‐Controllable and Biocompatible Small‐Scale Hydrogel Adhesive Robot
Advanced Materials, 2022Yun-Woo Lee, Donghoon Son, Xinghao Hu
exaly
A Survey on End-User Robot Programming
ACM Computing Surveys, 2022Gopika Ajaykumar, Chien-Ming Huang
exaly
A Survey of Robot Learning Strategies for Human-Robot Collaboration in Industrial Settings
Robotics and Computer-Integrated Manufacturing, 2022Kashish Gupta, Homayoun Najjaran
exaly
The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots
Journal of Business Research, 2022Christina Soyoung Song, Youn-Kyung Kim
exaly
Digital twins for collaborative robots: A case study in human-robot interaction
Robotics and Computer-Integrated Manufacturing, 2021Ali Ahmad Malik, Alexander Brem
exaly
Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm
Journal of Manufacturing Systems, 2021Shufei Li, Ruobing Wang, Pai Zheng
exaly