7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.RO2026
MUSE: Multimodal Uncertainty Quantification of State Estimation
Minkyung Kim, Henry Che, Bhargav Chandaka +6
Accurate visual state estimation has been a central topic in robotics with a wide range of applications in robot navigation, autonomous driving, and autonomous flight. Recent advan…
cs.RO2022★ 3 cited
DiffTune: Hyperparameter-Free Auto-Tuning using Auto-Differentiation
Sheng Cheng, Lin Song, Minkyung Kim +2
Controller tuning is a vital step to ensure the controller delivers its designed performance. DiffTune has been proposed as an automatic tuning method that unrolls the dynamical sy…
cs.RO2022★ 7 cited
DiffTune: Auto-Tuning through Auto-Differentiation
Sheng Cheng, Minkyung Kim, Lin Song +4
The performance of robots in high-level tasks depends on the quality of their lower-level controller, which requires fine-tuning. However, the intrinsically nonlinear dynamics and…