Alter 3

Alter 3

Alter 3 is an advanced humanoid robot engineered for exploring artificial life, expression, and human-robot interaction through dynamic, autonomous movements. Featuring 43 pneumatic actuators, it generates spontaneous gestures, facial expressions, and simulated locomotion like walking or running without bipedal mobility. Integrated with GPT-4 for interpreting verbal instructions into physical actions, it mimics human behaviors, emotions, and even non-human entities such as ghosts or animals. Equipped with eye cameras for visual learning and a vocal mouth for sound production, Alter 3 excels in artistic performances, including orchestra conducting and opera participation. Its exposed mechanical structure emphasizes minimalism, using central pattern generators and neural networks for unpredictable, evolving interactions that challenge perceptions of life and creativity in robotics.

Rating
★★★★☆(4.0)
Launch Year
2020
Price
Research prototype, not commercially available
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Robot Specifications

Primary Use Cases
Artistic performances, orchestra conducting, opera, AI expression studies, social interaction research
Pet Friendly
Yes, with safety protocols
Deployment
Autonomous, learned behaviors via GPT-4 and neural networks
Multi-Robot Coordination
No
Precision instruments, people interaction
Facial expression modules
1 kg per arm
2 kg maximum

Review Videos

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Frequently Asked Questions

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Q1. What is Alter 3, and what problem is it designed to solve?

Alter 3 is a humanoid robot developed by Osaka University in collaboration with Alternative Machine and MIXI. It is designed to investigate human reactions to autonomous robots, exploring concepts of expression, social interaction, and the nature of life through non-humanoid forms.

Q2. What are the main capabilities and key features of Alter 3?

Alter 3 features cameras in its eyes for visual perception, a mouth capable of sound production, and spontaneous movements generated by a central pattern generator and neural network. It supports imitation of human poses, self-simulation, and integration with large language models for motion from verbal instructions.

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