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This lecture explores how interpersonal manual tasks provide insights into human-robot interactions, focusing on task-stabilizing synergies, motor abundance, and performance differences between single-person and two-person conditions. The experiments reveal the impact of visual feedback and real-life constraints on performance-stabilizing synergies. The findings suggest that humans adapt their manual skills when interacting with others, which can inform the design of robots to exhibit more natural behavior and enhance their motor capabilities.