Research @ RLLAB

2025

Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics

Howoong Jun, Seongbo Ha, Jaewon Lee, Hyeonwoo Yu, and Songhwai Oh, "Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics," IEEE Robotics and Automation Letters, 2025. (Accepted)

Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement

Hogun Kee, Wooseok Oh, Minjae Kang, Hyemin Ahn, and Songhwai Oh, "Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement," IEEE Robotics and Automation Letters, 2025. (Accepted)

Language Guided Hierarchical Planning with Scene Graphs for Tabletop Object Rearrangement

Wooseok Oh, Hogun Kee and Songhwai Oh, "Language-Guided Hierarchical Planning with Scene Graphs for Tabletop Object Rearrangement," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2025. (Accepted)

Automatic Real-to-Sim-to-Real System through Iterative Interactions for Robust Robot Manipulation Policy Learning with Unseen Objects

Minjae Kang, Hogun Kee, Hosung Lee, and Songhwai Oh, "Automatic Real-to-Sim-to-Real System through Iterative Interactions for Robust Robot Manipulation Policy Learning with Unseen Objects," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2025. (Accepted)

Context-Aware Multi-Agent Trajectory Transformer

Jeongho Park and Songhwai Oh, "Context-Aware Multi-Agent Trajectory Transformer," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2025. (Accepted)

Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach

Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, and Songhwai Oh, "Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach," in Proc of the IEEE International Conference on Robotics and Automation (ICRA), May 2025

2024

Adversarial Environment Design via Regret-Guided Diffusion Models

Hojun Chung, Junseo Lee, Minsoo Kim, Dohyeong Kim, and Songhwai Oh, "Adversarial Environment Design via Regret-Guided Diffusion Models," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2024. (Spotlight)

Unsupervised 3D Part Decomposition via Leveraged Gaussian Splatting

Jae Goo Choy, Geonho Cha, Hogun Kee, and Songhwai Oh, "Unsupervised 3D Part Decomposition via Leveraged Gaussian Splatting," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024.

Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards

Hyeokjin Kwon, Gunmin Lee, Junseo Lee, and Songhwai Oh "Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024.

Minsoo Kim, Obin Kwon, Howoong Jun, and Songhwai Oh, "RNR-Nav: A Real-World Visual Navigation System Using Renderable Neural Radiance Maps," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024. (Oral Presentation)

Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning

Howoong Jun, Hyeonwoo Yu, and Songhwai Oh, "Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024.

Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing

Minjae Kang, Hogun Kee, Yoseph Park, Junseok Kim, Jaeyeon Jeong, Geunje Cheon, Jaewon Lee, and Songhwai Oh, "Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024.

WayIL: Image-Based Indoor Localization with Wayfinding Maps

Obin Kwon, Dongki Jung, Youngji Kim, Soohyun Ryu, Suyong Yeon, Songhwai Oh, and Donghwan Lee, "WayIL: Image-based Indoor Localization with Wayfinding Maps," in Proc of the IEEE International Conference on Robotics and Automation (ICRA), May 2024.

MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity

Hojun Chung, Jeongwoo Oh, Jaeseok Heo, Gunmin Lee, and Songhwai Oh, "MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity," in Proc of the IEEE International Conference on Robotics and Automation (ICRA), May 2024.

2023

Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints

Dohyeong Kim, Kyungjae Lee, and Songhwai Oh, "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2023.

Diffused Task-Agnostic Milestone Planner

Mineui Hong, Minjae Kang, and Songhwai Oh, "Diffused Task-Agnostic Milestone Planner," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2023.

Diffused Task-Agnostic Milestone Planner

Mineui Hong, Minjae Kang, and Songhwai Oh, "Diffused Task-Agnostic Milestone Planner," in Proc. of Neural Information Processing Systems (NeurIPS), Dec. 2023.

Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning

Junseo Lee, Jaeseok Heo, Dohyeong Kim, Gunmin Lee, and Songhwai Oh, "Dual Variable Actor-Critic for Adaptive Safe Reinforcement Learning," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2023.

Minyoung Hwang, Jaeyeon Jeong, Minsoo Kim, Yoonseon Oh, and Songhwai Oh, "Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding," in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2023. [Project Page | Video | Supplementary Material | arXiv preprint]

Obin Kwon, Jeongho Park, and Songhwai Oh, "Renderable Neural Radiance Map for Visual Navigation," in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2023. [Project Page | Video | Supplementary Material | arXiv preprint] (Highlight Paper at CVPR 2023, Acceptance Rate: 2.5%)

Jeongwoo Oh, Jaeseok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, and Songhwai Oh, "SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search," in Proc of the IEEE International Conference on Robotics and Automation (ICRA), May 2023.

SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects

Hogun Kee, Minjae Kang, Dohyeong Kim, Jaegoo Choy, and Songhwai Oh, "SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2023.

2022

Nuri Kim, Obin Kwon, Hwiyeon Yoo, Yunho Choi, Jeongho Park, and Songhwai Oh, "Topological Semantic Graph Memory for Image-Goal Navigation," in Proc of the Conference on Robot Learning (CoRL), Dec. 2022.

Safety Guided Policy Optimization

Dohyeong Kim and Songhwai Oh, "Safety Guided Policy Optimization," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.

SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration

Dohyeong Kim*, Jaeseok Heo*, and Songhwai Oh, "SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.

Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities

Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, and Songhwai Oh, "Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.

RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving

Timothy Ha, Jeongwoo Oh, Hojun Chung, Gunmin Lee, and Songhwai Oh, "RIANet: Road Graph and Image Attention Network for Urban Autonomous Driving," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.

Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search

Minjae Kang, Hogun Kee, Junseok Kim, and Songhwai Oh, "Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.

Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk

Dohyeong Kim and Songhwai Oh, "Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk," IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7644-7651, Jul. 2022.

Unsupervised 3D Link Segmentation of Articulated Objects With a Mixture of Coherent Point Drift

JaeGoo Choy, Geonho Cha, and Songhwai Oh, "Unsupervised 3D Link Segmentation of Articulated Objects with a Mixture of Coherent Point Drift," IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7124-7131, Jul. 2022. [Project Page | Dataset | Video | Software]

TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning

Dohyeong Kim and Songhwai Oh, "TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2621-2628, Apr. 2022.

Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning

Mineui Hong, Kyungjae Lee, Minjae Kang, Wonsuhk Jung, and Songhwai Oh, "Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 3388-3395, Apr. 2022.

Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations

Seunggyu Chang, Jungchan Cho, and Songhwai Oh, "Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations," in Proc. of the AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022.

2021

Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, and Songhwai Oh, "Visual Graph Memory with Unsupervised Representation for Visual Navigation," in Proc. of the International Conference on Computer Vision (ICCV), Oct. 2021. [Project Page | Supplementary Material | Video | Software]

Road Graphical Neural Networks for Autonomous Roundabout Driving

Timothy Ha, Gunmin Lee, Dohyeong Kim, and Songhwai Oh, "Road Graphical Neural Networks for Autonomous Roundabout Driving," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep. 2021.

2020

MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities

Gunmin Lee, Dohyung Kim, Wooseok Oh, Kyungjae Lee, and Songhwai Oh, "MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020.

Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model

Kyungdo Kim, Yoon Kyung Lee, Hyemin Ahn, Sowon Hahn, and Songhwai Oh, "Pedestrian Intention Prediction for Autonomous Driving Using a Multiple Stakeholder Perspective Model," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020.

No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping

Kyungjae Lee, Jaegu Choy, Yunho Choi, Hogun Kee, and Songhwai Oh, "No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2020.

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

Jae In Kim, Mineui Hong, Kyungjae Lee, DongWook Kim, Yong-Lae Park, and Songhwai Oh, "Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators with Entropy Adaptive Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2317-2324, Apr. 2020. [Supplementary Material]

Hierarchical 6-DoF Grasping with Approaching Direction Selection

Yunho Choi, Hogun Kee, Kyungjae Lee, Jaegu Choy, Junhong Min, Sohee Lee, 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, vol. 5, no. 2, pp. 3501-3508, Apr. 2020. [arXiv preprint]

Unsupervised 3D Reconstruction Networks

Geonho Cha, Minsik Lee, and Songhwai Oh, "Unsupervised 3D Reconstruction Networks," in Proc. of the International Conference on Computer Vision (ICCV), Oct. 2019.

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

Kyunghoon Cho, Timothy Ha, Gunmin Lee, and Songhwai Oh, "Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov. 2019.

Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space

Minjae Kang, Kyungjae Lee, and Songhwai Oh, "Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov. 2019.

2018

Interactive Text2Pickup Networks for Natural Language based Human-Robot Collaboration

Hyemin Ahn, Sungjoon Choi, Nuri Kim, Geonho Cha, and Songhwai Oh, "Interactive Text2Pickup Networks for Natural Language based Human-Robot Collaboration," IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. 3308–3315, Oct. 2018. [arXiv preprint]

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

Sungjoon Choi, Kyungjae Lee, Sungbin Lim, and Songhwai Oh, "Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018.

A Nonparametric Motion Flow Model for Human Robot Cooperation

Sungjoon Choi, Kyungjae Lee, H. Andy Park, and Songhwai Oh, "A Nonparametric Motion Flow Model for Human Robot Cooperation," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018.

Learning-Based Model Predictive Control under Signal Temporal Logic Specifications

Kyunghoon Cho and Songhwai Oh, "Learning-Based Model Predictive Control under Signal Temporal Logic Specifications," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018.

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

Kyungjae Lee, Sungjoon Choi, and Songhwai Oh, "Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 3, no. 3, pp. 1466-1473, Jul. 2018. [Supplementary Material | arXiv preprint]

2017

Text2Action: Generative Adversarial Synthesis from Language to Action

Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh, "Text2Action: Generative Adversarial Synthesis from Language to Action," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2018. [arXiv preprint]

Online Learning to Approach a Person with No-Regret

Hyemin Ahn, Yoonseon Oh, Sungjoon Choi, Claire J. Tomlin, and Songhwai Oh, "Online Learning to Approach a Person with No-Regret," IEEE Robotics and Automation Letters, vol. 3, no. 1, pp. 52-59, Jan. 2018. [Supplementary Material]

Scalable Robust Learning from Demonstration with Leveraged Deep Neural Networks

Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Scalable Robust Learning from Demonstration with Leveraged Deep Neural Networks," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep. 2017.

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

Kyunghoon Cho, Junghun Suh, Claire J. Tomlin, and Songhwai Oh, "Cost-Aware Path Planning under Co-Safe Temporal Logic Specifications," IEEE Robotics and Automation Letters, vol. 2, no. 4, pp. 2308-2315, Oct. 2017. [Supplementary Material]

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

Yoonseon Oh, Sungjoon Choi, and Songhwai Oh, "Chance-Constrained Target Tracking Using Sensors with Bounded Fan-Shaped Sensing Regions," Autonomous Robots, vol. 42, no. 2, pp. 307–327, Feb. 2018.

2016

Inverse Reinforcement Learning with Leveraged Gaussian Processes

Kyungjae Lee, Sungjoon Choi, and Songhwai Oh, "Inverse Reinforcement Learning with Leveraged Gaussian Processes ," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2016.

Inverse Reinforcement Learning with Leveraged Gaussian Processes

Kyungjae Lee, Sungjoon Choi, and Songhwai Oh, "Inverse Reinforcement Learning with Leveraged Gaussian Processes," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2016.

Robust Modeling and Prediction in Dynamic Environments Using Recurrent Flow Networks

Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Robust Modeling and Prediction in Dynamic Environments Using Recurrent Flow Networks," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2016.

Gaussian Random Paths for Real-Time Motion Planning

Sungjoon Choi, Kyungjae Lee, and Songhwai Oh, "Gaussian Random Paths for Real-Time Motion Planning," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2016.

Multiple-Hypothesis Chance-Constrained Target Tracking Under Identity Uncertainty

Yoonseon Oh and Songhwai Oh, "Multiple-Hypothesis Chance-Constrained Target Tracking Under Identity Uncertainty," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2016

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

Jungchan Cho, Minsik Lee, and Songhwai Oh, "Complex Non-Rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model," International Journal of Computer Vision, vol. 117, no. 3, pp. 226-246, May 2016.

Vision-Based Coordinated Localization for Mobile Sensor Networks

Junghun Suh, Seungil You, Sungjoon Choi, and Songhwai Oh, "Vision-Based Coordinated Localization for Mobile Sensor Networks," IEEE Transactions on Automation Science and Engineering, vol. 13, no. 2, pp. 611-620, Apr. 2016.

2015

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

Junghun Suh, Joonsig Gong, and Songhwai Oh, "Energy-Efficient High-Dimensional Motion Planning for Humanoids Using Stochastic Optimization," in Proc. of the IEEE-RAS International Conference on Humanoid Robots (Humanoids), Nov. 2015

Leveraged Non-Stationary Gaussian Process Regression

Sungjoon Choi, Eunwoo Kim, Kyungjae Lee, and Songhwai Oh, "Leveraged Non-Stationary Gaussian Process Regression for Autonomous Robot Navigation," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2015.

Robust Structured Low-Rank Matrix Approximation in GPR

Eunwoo Kim, Sungjoon Choi, and Songhwai Oh, "Structured Low-Rank Matrix Approximation in Gaussian Process Regression for Autonomous Robot Navigation," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2015.

Chance-Constrained Target Tracking for Mobile Robots

Yoonseon Oh, Sungjoon Choi, and Songhwai Oh, "Chance-Constrained Target Tracking for Mobile Robots," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May 2015.

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

Geonho Cha, Joonsig Gong, and Songhwai Oh, "SmartPTA: A Smartphone-Based Human Motion Evaluation System," in Proc. of the IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), Aug. 2014.

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

Eunwoo Kim, Sungjoon Choi, and Songhwai Oh, "A Robust Autoregressive Gaussian Process Motion Model Using l1-Norm Based Low-Rank Kernel Matrix Approximation," in Proc. of the IEEE International Conference on Intelligent Robots and Systems (IROS), Sep. 2014.

Playing Alkagi with a Humanoid Robot Nao

Joonsig Gong and Songhwai Oh, "Playing Alkagi with a Humanoid Robot," in Proc. of the International Conference on Control, Automation and Systems (ICCAS), Oct. 2014.

Action Classification Using Body Sensor Networks

Robust Action Recognition Using Local Motion and Group Sparsity

Jungchan Cho, Minsik Lee, Hyung Jin Chang, and Songhwai Oh, "Robust Action Recognition Using Local Motion and Group Sparsity," Pattern Recognition, vol. 47, no. 5, pp. 1813–1825, May 2014.

Real-Time Gaussian Process Motion Control

Sungjoon Choi, Eunwoo Kim, and Songhwai Oh, "Real-Time Navigation in Crowded Dynamic Environments Using Gaussian Process Motion Control," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Jun. 2014.

Before 2013

Nao Dancing to SNSD's Dancing Queen

PASU | Personal Area Situation Understanding System

Sangseok Yoon, Hyeongseok Oh, Donghoon Lee, and Songhwai Oh, "PASU: A Personal Area Situation Understanding System Using Wireless Camera Sensor Networks," Personal and Ubiquitous Computing, vol. 17, no. 4, pp. 713-727, Apr. 2013.

VibePhone for Surface Recognition

Jungchan Cho, Inhwan Hwang, and Songhwai Oh, "VibePhone: Efficient Surface Recognition for Smartphones Using Vibration," Pattern Analysis and Applications, vol. 19, no. 1, pp. 251-265, Feb. 2016.
Jungchan Cho, Inhwan Hwang, and Songhwai Oh, "Vibration-Based Surface Recognition for Smartphones," in Proc. of the International Workshop on Cyber-Physical Systems, Networks, and Applications (CPSNA), Aug., 2012.

VibeComm for Communication between Smart Devices without Radios

Inhwan Hwang, Jungchan Cho, and Songhwai Oh, "VibeComm: Radio-Free Wireless Communication for Smart Devices Using Vibration," Sensors, vol. 14, no. 11, pp. 21151-21173, Nov. 2014.
Inhwan Hwang, Jungchan Cho, and Songhwai Oh, "Privacy-Aware Communication for Smartphones Using Vibration," in Proc. of the International Workshop on Cyber-Physical Systems, Networks, and Applications (CPSNA), Aug., 2012.

Multi-Robot Coordination

Kinect-Based Teleoperation of Willow Garage's PR2 Robot

Cooperative Indoor Localization Using Multiple Robots

Junghun Suh, Seungil You, and Songhwai Oh, "A Cooperative Localization Algorithm for Mobile Sensor Networks," in Proc. of the IEEE International Conference on Automation Science and Engineering (CASE), Aug., 2012.

Topological Mapping and Navigation for iRobot Create

Junyoung Kim, Juyong Kim, Seungil You, Yoonseon Oh, and Songhwai Oh, "Actionable Topological Mapping for Navigation Using Nearby Objects," in Proc. of the IEEE International Conference on Automation Science and Engineering (CASE), Aug., 2012.

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

Sangseok Yoon, Hyeongseok Oh, Donghoon Lee, and Songhwai Oh, "Virtual Lock: A Smartphone Application for Personal Surveillance Using Camera Sensor Networks," in Proc. of the International Workshop on Cyber-Physical Systems, Networks, and Applications (CPSNA), Aug., 2011.

NEST Final Experiment

Songhwai Oh, Luca Schenato, Phoebus Chen, and Shankar Sastry, " Tracking and Coordination of Multiple Agents Using Sensor Networks : System Design, Algorithms and Experiments," Proceedings of the IEEE, vol. 95, no. 1, pp. 234-254, Jan. 2007.