


Остановите войну!
for scientists:


default search action
Soon-Jo Chung
Person information

Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [j38]SooJean Han, Soon-Jo Chung, John C. Doyle:
Predictive control of linear discrete-time Markovian jump systems by learning recurrent patterns. Autom. 156: 111197 (2023) - [j37]Yashwanth Kumar Nakka
, Soon-Jo Chung
:
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty. IEEE Trans. Robotics 39(1): 203-222 (2023) - [j36]Karena X. Cai
, Tung Phan-Minh
, Soon-Jo Chung
, Richard M. Murray
:
Rules of the Road: Formal Guarantees for Autonomous Vehicles With Behavioral Contract Design. IEEE Trans. Robotics 39(3): 1853-1872 (2023) - [c56]Lu Gan, Connor Lee, Soon-Jo Chung:
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. ICRA 2023: 6014-6020 - [c55]SooJean Han, Soon-Jo Chung, Johanna Gustafson:
Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns. L4DC 2023: 903-914 - [i38]SooJean Han, Soon-Jo Chung, John C. Doyle:
Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns. CoRR abs/2305.05587 (2023) - [i37]Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung:
CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems. CoRR abs/2307.08602 (2023) - [i36]Connor T. Lee, Jonathan Gustafsson Frennert, Lu Gan, Matthew Anderson, Soon-Jo Chung:
Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. CoRR abs/2307.09027 (2023) - 2022
- [j35]Michael O'Connell
, Guanya Shi
, Xichen Shi
, Kamyar Azizzadenesheli, Anima Anandkumar
, Yisong Yue
, Soon-Jo Chung
:
Neural-Fly enables rapid learning for agile flight in strong winds. Sci. Robotics 7(66) (2022) - [j34]Benjamin Rivière
, Soon-Jo Chung
:
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. IEEE Trans. Intell. Transp. Syst. 23(8): 10935-10944 (2022) - [j33]Guanya Shi
, Wolfgang Hönig
, Xichen Shi
, Yisong Yue, Soon-Jo Chung
:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions. IEEE Trans. Robotics 38(2): 1063-1079 (2022) - [c54]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. ACC 2022: 2604-2610 - [c53]Soon-Jo Chung:
Neural-fly Enables Rapid Learning for Agile Flight in Strong Winds for Drones. ICINCO 2022: 7 - [c52]Samuel Prager, Brian P. Hawkins, Matthew Anderson, Soon-Jo Chung, Marco Lavalle:
Development of Ultra-Wideband Software Defined Radar Testbed to Support SAR Tomographic Mission Formulation. IGARSS 2022: 4799-4802 - [i35]Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds. CoRR abs/2205.06908 (2022) - [i34]Hiroyasu Tsukamoto, Soon-Jo Chung, Benjamin Donitz, Michel D. Ingham, Declan Mages, Yashwanth Kumar Nakka:
Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects. CoRR abs/2208.04883 (2022) - [i33]Lu Gan, Connor T. Lee, Soon-Jo Chung:
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. CoRR abs/2210.04367 (2022) - [i32]Benjamin P. S. Donitz, Declan Mages, Hiroyasu Tsukamoto, Peter Dixon, Damon Landau, Soon-Jo Chung, Erica Bufanda, Michel D. Ingham, Julie C. Castillo-Rogez:
Interstellar Object Accessibility and Mission Design. CoRR abs/2210.14980 (2022) - 2021
- [j32]Hiroyasu Tsukamoto
, Soon-Jo Chung
, Jean-Jacques E. Slotine
:
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview. Annu. Rev. Control. 52: 135-169 (2021) - [j31]Hiroyasu Tsukamoto, Soon-Jo Chung:
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. IEEE Control. Syst. Lett. 5(1): 211-216 (2021) - [j30]Hiroyasu Tsukamoto
, Soon-Jo Chung
, Jean-Jacques E. Slotine
:
Neural Stochastic Contraction Metrics for Learning-Based Control and Estimation. IEEE Control. Syst. Lett. 5(5): 1825-1830 (2021) - [j29]Kevin C. Meier
, Soon-Jo Chung
, Seth Hutchinson
:
River segmentation for autonomous surface vehicle localization and river boundary mapping. J. Field Robotics 38(2): 192-211 (2021) - [j28]Yashwanth Kumar Nakka
, Anqi Liu
, Guanya Shi
, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics Autom. Lett. 6(1): 389-396 (2021) - [j27]Hiroyasu Tsukamoto
, Soon-Jo Chung
:
Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach. IEEE Robotics Autom. Lett. 6(4): 6164-6171 (2021) - [j26]Benjamin Rivière
, Wolfgang Hönig, Matthew Anderson
, Soon-Jo Chung
:
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. IEEE Robotics Autom. Lett. 6(4): 6868-6875 (2021) - [j25]Anthony T. Fragoso
, Connor T. Lee
, Austin S. McCoy
, Soon-Jo Chung
:
A seasonally invariant deep transform for visual terrain-relative navigation. Sci. Robotics 6(55): 3320 (2021) - [j24]Kyunam Kim
, Patrick Spieler
, Elena-Sorina Lupu, Alireza Ramezani
, Soon-Jo Chung
:
A bipedal walking robot that can fly, slackline, and skateboard. Sci. Robotics 6(59) (2021) - [j23]Hiroyasu Tsukamoto
, Soon-Jo Chung
:
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. IEEE Trans. Autom. Control. 66(10): 4731-4746 (2021) - [c51]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Neural Stochastic Contraction Metrics for Learning-based Control and Estimation. ACC 2021: 1275-1280 - [c50]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Learning-based Adaptive Control using Contraction Theory. CDC 2021: 2533-2538 - [c49]Sumeet Singh, Hiroyasu Tsukamoto, Brett Thomas Lopez, Soon-Jo Chung, Jean-Jacques E. Slotine:
Safe Motion Planning with Tubes and Contraction Metrics. CDC 2021: 2943-2948 - [c48]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan:
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. CDC 2021: 2949-2954 - [c47]Brian P. Hawkins, Matthew Anderson, Sam Prager, Soon-Jo Chung, Marco Lavalle:
Experiments with Small UAS to Support SAR Tomographic Mission Formulation. IGARSS 2021: 643-646 - [c46]Marco Lavalle, Ilgin Seker
, James Ragan, Eric Loria, Razi Ahmed, Brian P. Hawkins, Samuel Prager, Duane Clark, Robert Beauchamp, Mark Haynes, Paolo Focardi, Nacer E. Chahat, Matthew Anderson, Kai Matsuka, Vincenzo Capuano, Soon-Jo Chung:
Distributed Aperture Radar Tomographic Sensors (DARTS) to Map Surface Topography and Vegetation Structure. IGARSS 2021: 1090-1093 - [c45]Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS 2021: 10013-10025 - [i31]Hiroyasu Tsukamoto, Soon-Jo Chung:
Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach. CoRR abs/2102.12668 (2021) - [i30]Michael O'Connell, Guanya Shi, Xichen Shi, Soon-Jo Chung:
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions. CoRR abs/2103.01932 (2021) - [i29]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Learning-based Adaptive Control via Contraction Theory. CoRR abs/2103.02987 (2021) - [i28]SooJean Han, Soon-Jo Chung:
Incremental Nonlinear Stability Analysis for Stochastic Systems Perturbed by Lévy Noise. CoRR abs/2103.13338 (2021) - [i27]Benjamin Rivière, Wolfgang Hönig, Matthew Anderson, Soon-Jo Chung:
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. CoRR abs/2104.09705 (2021) - [i26]Benjamin Rivière, Soon-Jo Chung:
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. CoRR abs/2105.02138 (2021) - [i25]Yashwanth Kumar Nakka, Soon-Jo Chung:
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning and Control. CoRR abs/2106.02801 (2021) - [i24]Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. CoRR abs/2106.06098 (2021) - [i23]SooJean Han, Soon-Jo Chung, John C. Doyle:
A Two-Part Controller Synthesis Approach for Nonlinear Stochastic Systems Perturbed by Lévy Noise Using Renewal Theory and HJB-Based Impulse Control. CoRR abs/2107.10441 (2021) - [i22]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview. CoRR abs/2110.00675 (2021) - [i21]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan:
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. CoRR abs/2110.00693 (2021) - [i20]Daniel Neamati, Yashwanth Kumar Nakka, Soon-Jo Chung:
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness. CoRR abs/2112.09998 (2021) - 2020
- [j22]Benjamin Rivière
, Wolfgang Hönig
, Yisong Yue, Soon-Jo Chung
:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning. IEEE Robotics Autom. Lett. 5(3): 4249-4256 (2020) - [c44]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. ICRA 2020: 3241-3247 - [c43]Xichen Shi
, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung:
Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. ICRA 2020: 5321-5327 - [c42]Serin Lee, Vincenzo Capuano, Alexei Harvard, Soon-Jo Chung:
Fast Uncertainty Estimation for Deep Learning Based Optical Flow. IROS 2020: 10138-10144 - [c41]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. L4DC 2020: 608-619 - [c40]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Optimization with Memory and Competitive Control. NeurIPS 2020 - [c39]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. NeurIPS 2020 - [i19]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR abs/2002.05318 (2020) - [i18]Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning. CoRR abs/2002.11807 (2020) - [i17]Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung:
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. CoRR abs/2003.02992 (2020) - [i16]Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung:
Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. CoRR abs/2003.07558 (2020) - [i15]Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. CoRR abs/2005.04374 (2020) - [i14]Hiroyasu Tsukamoto, Soon-Jo Chung:
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. CoRR abs/2006.04359 (2020) - [i13]Hiroyasu Tsukamoto, Soon-Jo Chung:
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. CoRR abs/2006.04361 (2020) - [i12]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. CoRR abs/2006.07569 (2020) - [i11]Xichen Shi, Michael O'Connell, Soon-Jo Chung:
Numerical Predictive Control for Delay Compensation. CoRR abs/2009.14450 (2020) - [i10]Aditya A. Paranjape, Soon-Jo Chung:
Sub-Optimality of a Dyadic Adaptive Control Architecture. CoRR abs/2010.10329 (2020) - [i9]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. CoRR abs/2010.11637 (2020) - [i8]Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation. CoRR abs/2011.03168 (2020) - [i7]Karena X. Cai, Tung Phan-Minh, Soon-Jo Chung, Richard M. Murray:
Rules of the Road: Towards Safety and Liveness Guarantees for Autonomous Vehicles. CoRR abs/2011.14148 (2020) - [i6]Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions. CoRR abs/2012.05457 (2020)
2010 – 2019
- 2019
- [c38]Karena X. Cai, Alexei Harvard, Richard M. Murray, Soon-Jo Chung:
Robust Estimation Framework with Semantic Measurements. ACC 2019: 3809-3816 - [c37]Yashwanth Kumar Nakka
, Soon-Jo Chung:
Trajectory Optimization for Chance-Constrained Nonlinear Stochastic Systems. CDC 2019: 3811-3818 - [c36]Hiroyasu Tsukamoto, Soon-Jo Chung:
Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis. CDC 2019: 8196-8203 - [c35]Guanya Shi, Xichen Shi
, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural Lander: Stable Drone Landing Control Using Learned Dynamics. ICRA 2019: 9784-9790 - [i5]Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue:
Robust Regression for Safe Exploration in Control. CoRR abs/1906.05819 (2019) - 2018
- [j21]Saptarshi Bandyopadhyay, Soon-Jo Chung:
Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks. Autom. 97: 7-17 (2018) - [j20]Martin Miller
, Soon-Jo Chung
, Seth Hutchinson
:
The Visual-Inertial Canoe Dataset. Int. J. Robotics Res. 37(1): 13-20 (2018) - [j19]Jonathan Hoff, Alireza Ramezani, Soon-Jo Chung, Seth Hutchinson
:
Optimizing the structure and movement of a robotic bat with biological kinematic synergies. Int. J. Robotics Res. 37(10) (2018) - [j18]Kevin C. Meier
, Soon-Jo Chung, Seth Hutchinson
:
Visual-inertial curve simultaneous localization and mapping: Creating a sparse structured world without feature points. J. Field Robotics 35(4): 516-544 (2018) - [j17]Soon-Jo Chung
, Aditya A. Paranjape
, Philip M. Dames
, Shaojie Shen
, Vijay Kumar:
Guest Editorial Special Section on Aerial Swarm Robotics. IEEE Trans. Robotics 34(4): 835-836 (2018) - [j16]Soon-Jo Chung
, Aditya A. Paranjape
, Philip M. Dames
, Shaojie Shen
, Vijay Kumar
:
A Survey on Aerial Swarm Robotics. IEEE Trans. Robotics 34(4): 837-855 (2018) - [j15]Aditya A. Paranjape
, Soon-Jo Chung
, Kyunam Kim, David Hyunchul Shim
:
Robotic Herding of a Flock of Birds Using an Unmanned Aerial Vehicle. IEEE Trans. Robotics 34(4): 901-915 (2018) - [c34]Xichen Shi
, Kyunam Kim
, Salar Rahili, Soon-Jo Chung:
Nonlinear Control of Autonomous Flying Cars with Wings and Distributed Electric Propulsion. CDC 2018: 5326-5333 - [c33]Salar Rahili, Benjamin Rivière, Suzanne Olivier, Soon-Jo Chung:
Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning. ICDM Workshops 2018: 556-563 - [i4]Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung:
Neural Lander: Stable Drone Landing Control using Learned Dynamics. CoRR abs/1811.08027 (2018) - 2017
- [j14]Junho Yang, Ashwin P. Dani, Soon-Jo Chung
, Seth Hutchinson
:
Vision-based Localization and Robot-centric Mapping in Riverine Environments. J. Field Robotics 34(3): 429-450 (2017) - [j13]Soon-Jo Chung, Seth Hutchinson
:
A biomimetic robotic platform to study flight specializations of bats. Sci. Robotics 2(3) (2017) - [j12]Saptarshi Bandyopadhyay, Soon-Jo Chung, Fred Y. Hadaegh:
Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents. IEEE Trans. Robotics 33(5): 1103-1123 (2017) - [c32]Usman Ahmed Syed, Alireza Ramezani, Soon-Jo Chung, Seth Hutchinson
:
From Rousettus aegyptiacus (bat) landing to robotic landing: Regulation of CG-CP distance using a nonlinear closed-loop feedback. ICRA 2017: 3560-3567 - [c31]Jonathan Hoff, Alireza Ramezani, Soon-Jo Chung, Seth Hutchinson
:
Reducing Versatile Bat Wing Conformations to a 1-DoF Machine. Living Machines 2017: 181-192 - [c30]Alireza Ramezani, Syed Usman Ahmed, Jonathan Hoff, Soon-Jo Chung, Seth Hutchinson:
Describing Robotic Bat Flight with Stable Periodic Orbits. Living Machines 2017: 394-405 - [i3]Saptarshi Bandyopadhyay, Soon-Jo Chung:
Distributed Bayesian Filtering using Logarithmic Opinion Pool for Dynamic Sensor Networks. CoRR abs/1712.04062 (2017) - 2016
- [j11]Daniel Morgan, Giri Prashanth Subramanian, Soon-Jo Chung, Fred Y. Hadaegh:
Swarm assignment and trajectory optimization using variable-swarm, distributed auction assignment and sequential convex programming. Int. J. Robotics Res. 35(10): 1261-1285 (2016) - [j10]Michael R. Dorothy, Soon-Jo Chung:
Switched systems with multiple invariant sets. Syst. Control. Lett. 96: 103-109 (2016) - [j9]Fred Y. Hadaegh, Soon-Jo Chung
, Harish M. Manohara:
On Development of 100-Gram-Class Spacecraft for Swarm Applications. IEEE Syst. J. 10(2): 673-684 (2016) - [c29]Aditya A. Paranjape, Soon-Jo Chung:
Sub-optimal boundary control of semilinear pdes using a dyadic perturbation observer. CDC 2016: 1382-1387 - [c28]Alireza Ramezani, Xichen Shi
, Soon-Jo Chung, Seth Hutchinson
:
Bat Bot (B2), a biologically inspired flying machine. ICRA 2016: 3219-3226 - [c27]Kevin C. Meier, Soon-Jo Chung, Seth Hutchinson
:
Visual-inertial curve SLAM. IROS 2016: 1238-1245 - [c26]Saptarshi Bandyopadhyay, Soon-Jo Chung, Fred Y. Hadaegh:
A probabilistic eulerian approach for motion planning of a large-scale swarm of robots. IROS 2016: 3822-3829 - [c25]Jonathan Hoff, Alireza Ramezani, Soon-Jo Chung, Seth Hutchinson
:
Synergistic Design of a Bio-Inspired Micro Aerial Vehicle with Articulated Wings. Robotics: Science and Systems 2016 - 2015
- [j8]Aditya A. Paranjape, Kevin C. Meier, Xichen Shi
, Soon-Jo Chung
, Seth Hutchinson
:
Motion primitives and 3D path planning for fast flight through a forest. Int. J. Robotics Res. 34(3): 357-377 (2015) - [j7]Jingjin Yu, Soon-Jo Chung
, Petros G. Voulgaris:
Target Assignment in Robotic Networks: Distance Optimality Guarantees and Hierarchical Strategies. IEEE Trans. Autom. Control. 60(2): 327-341 (2015) - [j6]Ashwin P. Dani, Soon-Jo Chung
, Seth Hutchinson
:
Observer Design for Stochastic Nonlinear Systems via Contraction-Based Incremental Stability. IEEE Trans. Autom. Control. 60(3): 700-714 (2015) - [c24]Aditya A. Paranjape, Soon-Jo Chung
:
Output feedback stabilization of linear PDEs with finite dimensional input-output maps and Kelvin-Voigt damping. CDC 2015: 578-583 - [c23]Junho Yang, Soon-Jo Chung
, Seth Hutchinson
, David Johnson, Michio Kise:
Omnidirectional-vision-based estimation for containment detection of a robotic mower. ICRA 2015: 6344-6351 - [c22]Alireza Ramezani, Xichen Shi
, Soon-Jo Chung
, Seth Hutchinson
:
Lagrangian modeling and flight control of articulated-winged bat robot. IROS 2015: 2867-2874 - 2014
- [c21]Saptarshi Bandyopadhyay, Soon-Jo Chung
, Fred Y. Hadaegh:
Probabilistic swarm guidance using optimal transport. CCA 2014: 498-505 - [c20]Saptarshi Bandyopadhyay, Soon-Jo Chung
:
Distributed estimation using Bayesian consensus filtering. ACC 2014: 634-641 - [c19]Aditya A. Paranjape, Soon-Jo Chung
:
Dyadic perturbation observer framework for control of a class of nonlinear PDE/ODE systems. CDC 2014: 2065-2070 - [c18]Jingjin Yu, Soon-Jo Chung
, Petros G. Voulgaris:
Distance optimal target assignment in robotic networks under communication and sensing constraints. ICRA 2014: 1098-1105 - [c17]Daniel Morgan, Giri Prashanth Subramanian, Saptarshi Bandyopadhyay, Soon-Jo Chung
, Fred Y. Hadaegh:
Probabilistic guidance of distributed systems using sequential convex programming. IROS 2014: 3850-3857 - [c16]Jingjin Yu, Soon-Jo Chung
, Petros G. Voulgaris:
Traveled distance minimization and hierarchical strategies for robotic networks. ISCCSP 2014: 491-496 - [i2]Saptarshi Bandyopadhyay, Soon-Jo Chung:
Distributed Estimation using Bayesian Consensus Filtering. CoRR abs/1403.3117 (2014) - 2013
- [j5]Soon-Jo Chung
, Saptarshi Bandyopadhyay, Insu Chang, Fred Y. Hadaegh:
Phase synchronization control of complex networks of Lagrangian systems on adaptive digraphs. Autom. 49(5): 1148-1161 (2013) - [j4]Aditya A. Paranjape, Jinyu Guan, Soon-Jo Chung
, Miroslav Krstic
:
PDE Boundary Control for Flexible Articulated Wings on a Robotic Aircraft. IEEE Trans. Robotics 29(3): 625-640 (2013) - [j3]Aditya A. Paranjape, Soon-Jo Chung
, Joseph Kim:
Novel Dihedral-Based Control of Flapping-Wing Aircraft With Application to Perching. IEEE Trans. Robotics 29(5): 1071-1084 (2013) - [c15]Ashwin P. Dani, Ghazaleh Panahandeh, Soon-Jo Chung
, Seth Hutchinson
:
Image moments for higher-level feature based navigation. IROS 2013: 602-609 - [c14]