42 citations · 338 across the 135 of their papers we have counts for
17 papers · 1 filter
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…
Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions
Yikun Cheng, Pan Zhao, Naira Hovakimyan
Safe reinforcement learning (RL) with assured satisfaction of hard state constraints during training has recently received a lot of attention. Safety filters, e.g., based on contro…
Simultaneous Spatial and Temporal Assignment for Fast UAV Trajectory Optimization using Bilevel Optimization
Qianzhong Chen, Sheng Cheng, Naira Hovakimyan
In this paper, we propose a framework for fast trajectory planning for unmanned aerial vehicles (UAVs). Our framework is reformulated from an existing bilevel optimization, in whic…
Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States
Lin Song, Pan Zhao, Neng Wan +1
This paper presents a novel approach for achieving safe stochastic optimal control in networked multi-agent systems (MASs). The proposed method incorporates barrier states (BaSs) i…
Geometric Tracking Control of Omnidirectional Multirotors for Aggressive Maneuvers
Hyungyu Lee, Sheng Cheng, Zhuohuan Wu +3
An omnidirectional multirotor has the maneuverability of decoupled translational and rotational motions, superseding the traditional multirotors' motion capability. Such maneuverab…
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…