Robotics interfaces often focus on recognition accuracy: did the system classify the gesture or command correctly? Accuracy matters, but a human-centered interface also needs clear state. The user should know when the system is listening, what it selected, and how to cancel or recover from a wrong interpretation.
Multimodal control can help. Gesture can be useful for spatial selection, voice can express intent, and visual or audio feedback can confirm what the robot understood. The design challenge is to combine these channels without making the system trigger actions accidentally.
State machines, cooldowns, selection locks, and explicit confirmation cues are not just implementation details. They are part of making intelligent robotics systems feel reliable and understandable.