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Synria Alicia-M Leader-Follower Teleoperation Series

The Synria Alicia-M Leader-Follower Teleoperation Series consists of a follower arm and a teaching arm, designed for light industrial applications, advanced research, and embodied intelligence data collection scenarios. Based on the high-rigidity mechanical structure and high-precision servo drives of the Alicia-M series, the system can stably map the teaching arm's motions to the follower arm for tasks such as teleoperation control, teaching data collection, imitation learning, and policy verification.

Version Information
  • Current version: v1.0.0
  • English name: Alicia-M Dual-Arm Teleop
  • System composition: 1/2 follower arms + 1/2 teaching arms

1. System Composition​

Terminology
  • Follower arm: The main execution robotic arm used to perform actions such as grasping, transporting, and assembly.
  • Teaching arm: Held or guided by the operator, used to input motion trajectories and gripper control commands in real time.
  • Dual-arm kit: 1 teaching arm + 1 follower arm, suitable for single-hand teleoperation and single-arm data collection.
  • Quad-arm kit: 2 teaching arms + 2 follower arms, suitable for two-hand collaborative teleoperation and dual-arm task collection.

2. Product Features​

  • Industrial-grade six-axis platform: The follower arm adopts a 6DoF structure with a working radius of up to 750mm, a rated end-effector payload of 1.5kg, and a repeatability of ±0.1mm.
  • Highly consistent leader-follower mapping: The teaching arm and follower arm adopt a consistent kinematic layout, making it easy to perform pose following, trajectory reproduction, and motion collection.
  • Low-latency teleoperation link: Supports leader-follower synchronous control, usable for demonstration, teaching, remote operation, and policy verification.
  • Open software ecosystem: Can work with the Alicia-M SDK, ROS2, and toolchains such as LeRobot to carry out control development and imitation learning experiments.
  • Oriented toward real-world task deployment: Suitable for grasping, transporting, dual-arm collaboration, camera observation fusion, and algorithm verification for VLA/ACT/DP and others.

3. Typical Application Scenarios​

  • Manual teleoperation execution: The teaching arm controls the follower arm in real time to complete grasping, assembly, and transport.
  • Imitation learning data collection: Synchronously collect joint states, action labels, and visual data to train end-to-end policies.
  • Dual-arm collaborative tasks: Use the quad-arm kit to complete tasks such as two-hand grasping, alignment, and collaborative transport.
  • Algorithm closed-loop verification: Verify the execution effects of control, perception, and embodied intelligence models on real robotic arms.

4. Accompanying Documentation​

Usage Recommendation

For first-time use, it is recommended to first complete single-arm SDK or ROS2 integration debugging before connecting the leader-follower teleoperation link. This makes it easier to localize wiring, communication, or pose-synchronization issues.