Laboratory Automation Robotics

Completed

Sample-efficient reinforcement learning for robot arms handling lab samples.

Period
June 2021 - May 2026
Funding
Example Robotics Programme, grant LAR-2021-004
Members
Đặng Hoàng Nam, Trần Minh Khoa

Goals

Reduce the number of real-world interactions needed to teach a robot arm pick-and-place operations on lab samples.

Approach

Model-based reinforcement learning that reuses past trajectories through importance weighting.

Results

The journal paper Sample-Efficient Reinforcement Learning for Robot Manipulation and one PhD thesis defended in 2026.

  • reinforcement learning
  • robotics

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