Covering robots with a skin-like sensor enables a range of skills that improve human-robot interaction (HRI) both in terms of safety and communication. In this chapter we review current knowledge of human reflexes and suggest a role for reflexes with tactile triggers in the context of robot safety. We focus in particular on the human nociceptive withdrawal reflex (NWR), i.e., the reflex that causes withdrawal from painful stimuli. We present experimental data from human NWR motion capture as well as a basic model and implementation of a set of NWRs for the Nao humanoid robot.
Wang, Fengyi, J. Rogelio Guadarrama Olvera, Nitish Thakor & Gordon Cheng
2023. A Bio-Plausible Approach to Realizing Heat-Evoked Nociceptive Withdrawal Reflex on the Upper Limb of a Humanoid Robot. IEEE Robotics and Automation Letters 8:6 ► pp. 3398 ff.
Ibrahim, Ali, Luigi Pinna, Lucia Seminara & Maurizio Valle
2018. Achievements and Open Issues Toward Embedding Tactile Sensing and Interpretation into Electronic Skin Systems. In Material‐Integrated Intelligent Systems ‐ Technology and Applications, ► pp. 571 ff.
Natale, Lorenzo & Giorgio Cannata
2017. Tactile Sensing. In Humanoid Robotics: A Reference, ► pp. 1 ff.
Natale, Lorenzo & Giorgio Cannata
2019. Tactile Sensing. In Humanoid Robotics: A Reference, ► pp. 2539 ff.
2016. Clustering of Humanoid Robot Motions Executed in Response to Touch. In Intelligent Autonomous Systems 13 [Advances in Intelligent Systems and Computing, 302], ► pp. 1063 ff.
2015. How do People Expect Humanoids to Respond to Touch?. International Journal of Social Robotics 7:5 ► pp. 743 ff.
Dahl, Torbjørn S. & Alexandros Paraschos
2012. A Force-Distance Model of Humanoid Arm Withdrawal Reflexes. In Advances in Autonomous Robotics [Lecture Notes in Computer Science, 7429], ► pp. 13 ff.
Youssefi, Shahbaz, Simone Denei, Fulvio Mastrogiovanni & Giorgio Cannata
2011. 2011 11th IEEE-RAS International Conference on Humanoid Robots, ► pp. 159 ff.
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