Research @ RLLAB

2020


Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators with Entropy Adaptive Reinforcement Learning


Hierarchical 6-DoF Grasping with Approaching Direction Selection

  • Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegu Choy, and Songhwai Oh, "Hierarchical 6-DoF Grasping with Approaching Direction Selection," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2020.

2019


Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music

  • Hyemin Ahn, Jaehun Kim, Kihyun Kim, and Songhwai Oh, "Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music," IEEE Robotics and Automation Letters, 2020.  [arXiv preprint] (Accepted)

Unsupervised 3D Reconstruction Networks


Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules


Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space


2018


Interactive Text2Pickup Networks for Natural Language based Human-Robot Collaboration


Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling


A Nonparametric Motion Flow Model for Human Robot Cooperation


Learning-Based Model Predictive Control under Signal Temporal Logic Specifications


Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning


2017


Text2Action: Generative Adversarial Synthesis from Language to Action


Online Learning to Approach a Person with No-Regret


Scalable Robust Learning from Demonstration with Leveraged Deep Neural Networks


Cost-Aware Path Planning under Co-Safe Temporal Logic Specifications


Chance-Constrained Target Tracking Using Sensors with Bounded Fan-Shaped Sensing Regions


2016


Inverse Reinforcement Learning with Leveraged Gaussian Processes



Robust Modeling and Prediction in Dynamic Environments Using Recurrent Flow Networks



Gaussian Random Paths for Real-Time Motion Planning

 


Multiple-Hypothesis Chance-Constrained Target Tracking Under Identity Uncertainty

 


Complex Non-Rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model

 


Vision-Based Coordinated Localization for Mobile Sensor Networks


2015


Energy-Efficient Motion Planning for Higher Dimensional Problems Using Stochastic Optimization

 


Leveraged Non-Stationary Gaussian Process Regression

 


Robust Structured Low-Rank Matrix Approximation in GPR

 


Chance-Constrained Target Tracking for Mobile Robots

 


2014


Smartphone-Controlled Telerobotic Systems


  • Hyemin Ahn, Hyunjun Kim, Yoonseon Oh, and Songhwai Oh, "Smartphone-Controlled Telerobotic Systems," in Proc. of the IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), Aug. 2014.

SmartPTA: A Smartphone-Based Human Motion Evaluation System

 


A Robust Autoregressive GPMM Using l1-Norm Based Low-Rank Kernel Matrix Approximation


Playing Alkagi with a Humanoid Robot Nao


Action Classification Using Body Sensor Networks

 


Robust Action Recognition Using Local Motion and Group Sparsity


Real-Time Gaussian Process Motion Control


Before 2013


Nao Dancing to SNSD's Dancing Queen

 


PASU | Personal Area Situation Understanding System

 


VibePhone for Surface Recognition

 


VibeComm for Communication between Smart Devices without Radios

 


Multi-Robot Coordination


Kinect-Based Teleoperation of Willow Garage's PR2 Robot


Cooperative Indoor Localization Using Multiple Robots

 


Topological Mapping and Navigation for iRobot Create

 


Virtual Lock: A Smartphone Application for Personal Surveillance Using Camera Sensor Networks

 


NEST Final Experiment