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MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.
This ACME Robotics Product will use the Perception Module vision data alongside the sensor feedback, to avoid collision and choose a different path to traverse through the environment based on human detection and tracking from the continuous video input data stream, thus avoiding human collision.
The Human Interaction and RObotics [HIRO] Group is led by Alessandro Roncone at CU Boulder. We work on robot technologies that enable close, natural, and extended cooperation with humans.
A ROS node incorporating motion cues for human-robot interaction into navigation with move_base. During operation human-robot-interaction metrics are logged.