Based on Mobile ALOHA, Modular ALOHA is a more flexible and scalable selection for teleoperation and embodied AI data collection.
Features
Built on the RANGER MINI 3.0 mobile robot, this leader-follower split dual-arm teleoperation system is equipped with a comprehensive navigation system and provides ROS drivers for the lifting mechanism, ideal for remote teleoperation and embodied AI research.
Leader-Follower Split Architecture, Scalable Teleoperation
Featuring remote teleoperation, adjustable operating height, and flexible mobility, Modular ALOHA supports scalable data collection across diverse manipulation tasks. Compatible with Mobile ALOHA, ACT, and other open-source frameworks, streamline embodied AI research and robot learning.
Autonomous Navigation & Automatic Recharge
With an external power station and redundant battery system, supports autonomous navigation, intelligent path planning, and automatic charging for reliable long-duration autonomous operation.
Data Collection
Users can flexibly accomplish a wide range of everyday tasks by controlling the leader arms, from basic pick and place operations to more sophisticated skills.
Bimanual Collaboration & Robot Learning
Enables research and education in robot learning, mobile manipulation and physical AI, exploring "what bimanuals can do" in labs and even scenes in everyday life.
