Sehoon Ha

Orcid: 0000-0002-1972-328X

According to our database1, Sehoon Ha authored at least 82 papers between 2011 and 2024.

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Bibliography

2024
ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation.
IEEE Robotics Autom. Lett., January, 2024

Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation.
CoRR, 2024

Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller.
CoRR, 2024

HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation.
CoRR, 2024

Learning to enhance multi-legged robot on rugged landscapes.
CoRR, 2024

Language Guided Skill Discovery.
CoRR, 2024

Learning-based legged locomotion; state of the art and future perspectives.
CoRR, 2024

Modeling social interaction dynamics using temporal graph networks.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning manipulation of steep granular slopes for fast Mini Rover turning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Emotion-Behavior Interplay in Human Animal-Robot Interaction (HARI).
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

AAMDM: Accelerated Auto-Regressive Motion Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Co-designing Robot Dogs with and for Neurodivergent Individuals: Opportunities and Challenges.
Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 2024

2023
Imitating and Finetuning Model Predictive Control for Robust and Symmetric Quadrupedal Locomotion.
IEEE Robotics Autom. Lett., November, 2023

User preference optimization for control of ankle exoskeletons using sample efficient active learning.
Sci. Robotics, October, 2023

FastMimic: Model-Based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion.
Robotics, June, 2023

Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum.
Comput. Graph. Forum, May, 2023

Cascaded Compositional Residual Learning for Complex Interactive Behaviors.
IEEE Robotics Autom. Lett., 2023

BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning.
CoRR, 2023

Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement.
CoRR, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms.
CoRR, 2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
CoRR, 2023

Adaptive Skill Coordination for Robotic Mobile Manipulation.
CoRR, 2023

ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Learning and Adapting Agile Locomotion Skills by Transferring Experience.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning.
IROS, 2023

Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots.
IROS, 2023

Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot Using Scalable Motion Imitation.
IROS, 2023

ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environments.
IROS, 2023

ViNL: Visual Navigation and Locomotion Over Obstacles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
Proceedings of the Conference on Robot Learning, 2023

2022
Real-Time Remodeling of Granular Terrain for Robot Locomotion.
Adv. Intell. Syst., December, 2022

Learning to Navigate Sidewalks in Outdoor Environments.
IEEE Robotics Autom. Lett., 2022

Unified State Representation Learning under Data Augmentation.
CoRR, 2022

HumanConQuad: Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning.
Proceedings of the SIGGRAPH Asia 2022 Emerging Technologies, 2022

Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Safe Reinforcement Learning for Legged Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion.
CoRR, 2021

Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning.
CoRR, 2021

Finite State Machine Policies Modulating Trajectory Generator.
CoRR, 2021

Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021.
CoRR, 2021

Learning Robot Structure and Motion Embeddings using Graph Neural Networks.
CoRR, 2021

Learning Human Search Behavior from Egocentric Visual Inputs.
Comput. Graph. Forum, 2021

Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Observation Space Matters: Benchmark and Optimization Algorithm.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

PODS: Policy Optimization via Differentiable Simulation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Visual-Locomotion: Learning to Walk on Complex Terrains with Vision.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Quadrupedal robots trot into the wild.
Sci. Robotics, 2020

Learning Fast Adaptation With Meta Strategy Optimization.
IEEE Robotics Autom. Lett., 2020

Learning to be Safe: Deep RL with a Safety Critic.
CoRR, 2020

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning a Control Policy for Fall Prevention on an Assistive Walking Device.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning to Walk in the Real World with Minimal Human Effort.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning to Walk Via Deep Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

2018
Computational Design of Robotic Devices From High-Level Motion Specifications.
IEEE Trans. Robotics, 2018

DART: Dynamic Animation and Robotics Toolkit.
J. Open Source Softw., 2018

Computational co-optimization of design parameters and motion trajectories for robotic systems.
Int. J. Robotics Res., 2018

Soft Actor-Critic Algorithms and Applications.
CoRR, 2018

Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot.
Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

Learning Hardware Dynamics Model from Experiments for Locomotion Optimization.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Improving Model-Based Balance Controllers Using Reinforcement Learning and Adaptive Sampling.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Expanding Motor Skills using Relay Networks.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Expanding Motor Skills through Relay Neural Networks.
CoRR, 2017

Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem.
Proceedings of the Robotics: Science and Systems XIII, 2017

Learning a unified control policy for safe falling.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Task-based limb optimization for legged robots.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Evolutionary optimization for parameterized whole-body dynamic motor skills.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Multiple contact planning for minimizing damage of humanoid falls.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Reducing hardware experiments for model learning and policy optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Iterative Training of Dynamic Skills Inspired by Human Coaching Techniques.
ACM Trans. Graph., 2014

2013
Physics Storyboards.
Comput. Graph. Forum, 2013

2012
Falling and landing motion control for character animation.
ACM Trans. Graph., 2012

2011
Human Motion Reconstruction from Force Sensors.
Proceedings of the 2011 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2011


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