7 citations · 10 across the 4 of their papers we have counts for
4 papers
Moving Horizon Estimation for Quadrotors: An Adaptive Optimizer Approach
Thinh Nguyen, Minkyung Kim, Sandeep Banik +2
Moving Horizon Estimation (MHE) is a state estimation method based on finite-horizon optimization that can offer higher accuracy at the cost of increased computation compared to Ka…
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…
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…
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…