Robotics @ MLCS

MLCS Robotics Team

We strive to develop learning and control algorithms that enable intelligent robotic systems to perform complex real-world tasks and support people in everyday life.

News

We are looking for highly self-motivated students to join our robot learning research. We are recruiting in particular for the two funded projects below.

NRF Project

Spatial Intelligence for Robotic Autonomy

We are developing a robot learning framework that spans the full pipeline — from high-level planning to low-level control.

See on Projects → Spatial Intelligence for Robotic Autonomy (NRF) IITP Project

XR Copilot for Construction

We are developing XR copilot technology based on non-verbal behavior for quality and safety assurance in the fabrication and installation of construction components.

See on Projects → Development of XR Copilot Technology (IITP)

What we expect

  • Ability to work in person for at least six months.
  • Full-time commitment during summer and winter breaks, and half-time commitment during the semester.
  • Basic familiarity with robot learning papers such as Diffusion Policy (DP), Action Chunking Transformer (ACT), and π0 (pi0).

How to apply

Please feel free to send your CV, along with the project you would like to join, to both the professor (jongeunchoi@yonsei.ac.kr) and the robotics team (robotics.mlcs@gmail.com).

Compose email in Gmail →