Aug 2026· International Journal of Social Robotics· Vol 18· 0 citations· 50 references
TL;DR
The Pleasure-Arousal-Dominance model is introduced for emotional motion design of the humanoid robots, in order to enrich its emotional expression and a detailed rule that converts PAD parameters to 24 motion parameters of the humanoid robot is proposed.
People read a humanoid robot's motion in social settings not only for the action performed but for the affect conveyed. Motion carrying that affect has so far been generated for human avatars, where style is taken from a reference clip or an emotion word, neither of which can be quantitatively parameterized. We present...
Yan Pan, Ling-Fan Bao, Tian-Hu Peng et al.· 0 citations
Investigation of whether a musically-informed sound design or a color-based display is more effective for emotional expression in a non-anthropomorphic kitchen assistant robot shows that effectiveness is emotion-dependent.
Ayden Janssen, Rachel Ringe, Lisa Hesselbarth et al.· Message Understanding Confer...· 0 citations
It is suggested that “calm” aesthetics are preferred over “cute” aesthetics for wellbeing robots, challenging the assumption that human-likeness alone drives design success.
Ilona Buchem, Rinat B. Rosenberg-Kima, Emily Evermann et al.· Frontiers in Cognition· 0 citations
It is shown that humanoid robots are well-suited as they enable parametric control of performance variables, reproducibility across trials, and the decoupling and recombination of auditory, visual, and interactive components.
Safety and comfort in human-robot physical in-teractions are essential aspects in the development of social technologies, where natural gestures, such as handshakes, represent a challenge due to their direct physical contact. The implementation of series elastic actuators (SEA) to absorb impacts is proposed as a design...
Joel Hidalgo, D. Paillacho, Melissa Cobos et al.· 0 citations
Existing humanoid locomotion systems primarily focus on stability and task execution, while integrating expressiveness with explicit locomotion control remains challenging. We propose EMoG, an emotion-modulated gait generation framework for expressive humanoid locomotion. EMoG introduces an emotional-style code with co...
Yi Lu, Tian-Hao Jiang, Hong-Long Tian et al.· 0 citations
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