Robust Intelligence & Robotics Lab

The Robust Intelligence & Robotics (RIRO) Laboratory is part of the School of Computing at Korea Advanced Institute of Science and Technology (KAIST). Our vision is to empower robots to be trusted collaborators in every part of our society by introducing novel learning, reasoning, and execution capabilities.
https://rirolab.kaist.ac.kr/

DiSPo: Diffusion-SSM based Policy Learning for Coarse-to-Fine Action Discretization
DiSPo: Diffusion-SSM based Policy Learning for Coarse-to-Fine Action Discretization
[RSS 2025] Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
[RSS 2025] Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
INR-DOM
INR-DOM
Reactive Constraint Relaxation for Urban Environment Navigation
Reactive Constraint Relaxation for Urban Environment Navigation
2022 RIROLAB Haetae Robot Setup Manipulation
2022 RIROLAB Haetae Robot Setup Manipulation
IITP-RL'24 Project Experiment
IITP-RL'24 Project Experiment
[ICRA 2024] Graph-based 3D Collision-distance Estimation Network with Probabilistic Graph Rewiring
[ICRA 2024] Graph-based 3D Collision-distance Estimation Network with Probabilistic Graph Rewiring
[AAAI 2024] LINGO-Space: Virtual Presentation
[AAAI 2024] LINGO-Space: Virtual Presentation
Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning
Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning
GraphDistNet: A Graph-based Collision-distance Estimator for Gradient-based Trajectory
GraphDistNet: A Graph-based Collision-distance Estimator for Gradient-based Trajectory
연구실 소개영상 v2
연구실 소개영상 v2
Reactive Task and Motion Planning under Temporal Logic Specifications
Reactive Task and Motion Planning under Temporal Logic Specifications