| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Comput. Ind. Eng.
|
| 2025 | J | jnl |
Appl. Soft Comput.
|
| 2025 | A* | conf |
Optimal Gait Control for a Tendon-Driven Soft Quadruped Robot by Model-Based Reinforcement Learning.
ICRA
|
| 2025 | J | jnl |
Appl. Soft Comput.
|
| 2025 | J | jnl |
IEEE Trans Autom. Sci. Eng.
|
| 2025 | — | conf |
ECC
|
| 2024 | — | conf |
ITSC
|
| 2024 | — | conf |
ISoLA (3)
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
IEEE Trans. Intell. Veh.
|
| 2024 | J | jnl |
IEEE Trans. Ind. Electron.
|
| 2024 | J | jnl |
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning.
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | C | conf |
IECON
|
| 2023 | — | conf |
AIM
|
| 2023 | J | jnl |
Inf. Sci.
|
| 2023 | — | conf |
CASE
|
| 2023 | J | jnl |
IEEE Access
|
| 2023 | — | conf |
AIM
|
| 2023 | J | jnl |
IEEE Access
|
| 2022 | — | conf |
CASE
|
| 2022 | — | conf |
SysCon
|
| 2022 | — | conf |
ROBIO
|
| 2022 | J | jnl |
IEEE Trans. Veh. Technol.
|
| 2022 | J | jnl |
ACM Trans. Cyber Phys. Syst.
|
| 2022 | A | conf |
IROS
|
| 2022 | J | jnl |
Robotics Comput. Integr. Manuf.
|
| 2022 | J | jnl |
IEEE Robotics Autom. Lett.
|
| 2022 | J | jnl |
Robotics Comput. Integr. Manuf.
|
| 2021 | — | conf |
ISSE
|
| 2021 | J | jnl |
J. Intell. Robotic Syst.
|
| 2021 | — | conf |
WorldCIST (2)
|
| 2021 | J | jnl |
IEEE Trans. Haptics
|
| 2021 | — | conf |
CASE
|
| 2021 | J | jnl |
IEEE Trans. Autom. Control.
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
IEEE Trans. Ind. Electron.
|
| 2021 | J | jnl |
IEEE Trans. Veh. Technol.
|
| 2021 | — | conf |
DSM@SPLASH
|
| 2020 | J | jnl |
IEEE Trans Autom. Sci. Eng.
|
| 2020 | — | conf |
CASE
|
| 2020 | J | jnl |
IEEE Trans. Veh. Technol.
|
| 2020 | — | conf |
CASE
|
| 2019 | — | conf |
ITSC
|
| 2019 | — | conf |
ICCA
|
| 2019 | A* | conf |
ICRA
|
| 2018 | J | jnl |
IEEE Trans. Autom. Control.
|
| 2018 | — | conf |
CASE
|
| 2018 | J | jnl |
IEEE Trans Autom. Sci. Eng.
|
| 2018 | B | conf |
Safe Stop Trajectory Planning for Highly Automated Vehicles: An Optimal Control Problem Formulation.
Intelligent Vehicles Symposium
|
| 2017 | A | conf |
RTAS
|
| 2017 | — | conf |
ICCMA
|
| 2016 | — | conf |
AIM
|
| 2016 | A | conf |
ICCAD
|
| 2015 | — | conf |
HPCC/CSS/ICESS
|
| 2014 | J | jnl |
J. Robotics Mechatronics
|
| 2014 | — | conf |
CASE
|
| 2013 | — | conf |
CASE
|
| 2013 | J | jnl |
Computing
|
| 2013 | C | conf |
ICTSS
|
| 2013 | B | conf |
Intelligent Vehicles Symposium
|
| 2013 | — | conf |
ICCA
|
| 2012 | — | conf |
CASE
|
| 2012 | — | conf |
CDC
|
| 2010 | — | ch. |
Autonomic Communication
|
| 2010 | B | conf |
SAFECOMP
|
| 2010 | J | jnl |
Discret. Event Dyn. Syst.
|
| 2008 | — | conf |
CDC
|
| 2008 | J | jnl |
IEEE Trans. Autom. Control.
|
| 2007 | J | jnl |
Formal Methods Syst. Des.
|
| 2007 | — | conf |
CDC
|
| 2007 | — | conf |
Model-Based Engineering of Embedded Real-Time Systems
|
| 2006 | J | jnl |
J. Comput. Inf. Sci. Eng.
|
| 2006 | — | conf |
CDC
|
| 2004 | J | jnl |
Comput. Aided Des.
|