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Achieving nearly 90-degree steering in soft robots opens new avenues for precise navigation in challenging environments, such as the human colon.
Chicks dig warmth and faces on robots, suggesting simple affective cues can drive acceptance of robotic interfaces in animal-robot interaction.
This paper provides a systematic mapping of IMT-2030 key performance indicators to robotic functional blocks including sensing, perception, cognition, actuation and self-learning and proposes a high-level architectural framework integrating robotic, intelligent, and network service planes, underscoring the need for a holistic approach.
