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Taekyung Kim

Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics

May 20, 2023
Taekyung Kim, Jungwi Mun, Junwon Seo, Beomsu Kim, Seongil Hong

* 2023 Robotics: Science and Systems (RSS). Project page: https://taekyung.me/rss2023-bridging

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What Do Self-Supervised Vision Transformers Learn?

May 01, 2023
Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun

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* ICLR 2023

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Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control

May 01, 2023
Hojin Lee, Taekyung Kim, Jungwi Mun, Wonsuk Lee

* Our video can be found at https://youtu.be/VXf_prNQnJo

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ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments

Sep 14, 2022
Junwon Seo, Taekyung Kim, Kiho Kwak, Jihong Min, Inwook Shim

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* Our video can be found at https://youtu.be/kSvqjHDqmIk

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Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features

Jul 16, 2022
Taekyung Kim, Hojin Lee, Wonsuk Lee

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* 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Our video can be found at https://youtu.be/rPN0hGCW0R4

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TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics

Jan 21, 2022
Taekyung Kim, Hojin Lee, Seongil Hong, Wonsuk Lee

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* Our video can be found at https://youtu.be/YQG0yHE5jWw

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Derivative Action Control: Smooth Model Predictive Path Integral Control without Smoothing

Jan 13, 2022
Taekyung Kim, Gyuhyun Park, Jihwan Bae, Wonsuk Lee

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* 7 pages, 5 figures

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