18294568. COMMUNICATION ROBOT, COMMUNICATION ROBOT CONTROL METHOD, AND PROGRAM simplified abstract (HONDA MOTOR CO., LTD.)
Contents
COMMUNICATION ROBOT, COMMUNICATION ROBOT CONTROL METHOD, AND PROGRAM
Organization Name
Inventor(s)
Keisuke Nakamura of Wako-shi (JP)
COMMUNICATION ROBOT, COMMUNICATION ROBOT CONTROL METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18294568 titled 'COMMUNICATION ROBOT, COMMUNICATION ROBOT CONTROL METHOD, AND PROGRAM
Simplified Explanation:
The communication robot described in the patent application processes auditory and visual information to generate an attention map, which is used to control the robot's movements and interactions with humans.
- The robot recognizes the volume of voice and sound position in a three-dimensional space to create an auditory attention map.
- It also detects faces and motions of people using visual information processing to generate a visual attention map.
- These auditory and visual attention maps are integrated to create a comprehensive attention map for the robot.
- The robot's eyeball movements and motions are controlled based on the attention map, allowing it to interact effectively with humans.
Key Features and Innovation:
- Auditory information processing for voice recognition and sound localization.
- Visual information processing for face and motion detection.
- Integration of auditory and visual attention maps.
- Control of robot movements based on the attention map.
Potential Applications:
This technology can be used in:
- Human-robot interactions in various settings.
- Assistive devices for individuals with disabilities.
- Educational tools for children with special needs.
Problems Solved:
- Enhances the robot's ability to focus on relevant auditory and visual stimuli.
- Improves the robot's responsiveness and engagement in interactions with humans.
Benefits:
- Enhanced communication and interaction capabilities of the robot.
- Improved user experience in human-robot interactions.
- Increased efficiency in tasks requiring attention and responsiveness.
Commercial Applications:
Title: Enhanced Human-Robot Interaction Technology for Various Industries
This technology can be applied in:
- Customer service robots in retail and hospitality.
- Healthcare robots for patient assistance.
- Educational robots for interactive learning experiences.
Prior Art:
Prior research in the field of human-robot interaction has focused on various aspects such as voice recognition, face detection, and motion tracking. Researchers have explored ways to improve robots' ability to perceive and respond to human cues effectively.
Frequently Updated Research:
Ongoing research in the field of human-robot interaction includes advancements in artificial intelligence, machine learning, and sensor technologies to further enhance robots' capabilities in understanding and interacting with humans.
Questions about Communication Robot Technology:
1. How does the integration of auditory and visual attention maps improve the robot's interactions with humans? 2. What are the potential limitations of using attention maps to control robot movements in dynamic environments?
Original Abstract Submitted
A communication robot includes an auditory information processing portion configured to recognize a volume of voice collected by a sound collection portion and generate an auditory attention map by projecting a sound position in a three-dimensional space onto a two-dimensional attention map in which the robot is located at a center, a visual information processing portion configured to generate a visual attention map using a face detection result obtained by detecting a face of a person from an image captured by an imaging portion and a motion detection result obtained by detecting a motion of the person, an attention map generation portion configured to generate an attention map by integrating the auditory attention map and the visual attention map, and a motion processing portion configured to control eyeball movements and motions of the communication robot using the attention map.
