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Found 4 papers, 1 papers with code
CycleIK: Neuro-inspired Inverse Kinematics
The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) task, a Generative Adversarial Network (GAN), and a Multi-Layer Perceptron architecture.
Explain yourself! Effects of Explanations in Human-Robot Interaction
However, the results show that the robot that explains its moves is perceived as more lively and human-like.
A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution
Our saliency prediction model was trained to detect social cues, predict audio-visual saliency, and attend selectively for the robot study.
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
We present a novel approach for interactive auditory object analysis with a humanoid robot.
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