Control Systems
216 papers
Papers per year
4
6
6
4
2
4
5
3
1
1
3
3
6
12
28
32
15
8
25
29
19
'10
'15
'20
'25
Papers
Learning Control-Oriented Dynamical Structure from Data
ICML 2023
MARCOL: A Maritime Collision Avoidance Decision-Making Testbed
AAAI 2023
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
AAAI 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
AAAI 2023
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
ICLR 2023
SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
ICLR 2023
Adaptive Manipulation of Conductive, Nonmagnetic Objects via a Continuous Model of Magnetically Induced Force and Torque
RSS 2022
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees
L4DC 2022
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
ICLR 2022
HybVIO: Pushing the Limits of Real-Time Visual-Inertial Odometry
WACV 2022
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning
L4DC 2022
Learning-Enabled Robust Control with Noisy Measurements
L4DC 2022
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
L4DC 2022
Multi-Robot Adversarial Resilience using Control Barrier Functions
RSS 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
NeurIPS 2022
On the Effectiveness of Iterative Learning Control
L4DC 2022
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
L4DC 2022
Real-Time BDI Agents: A Model and Its Implementation
IJCAI 2022
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
AAAI 2022
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
L4DC 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control
L4DC 2022
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control
L4DC 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs
L4DC 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
L4DC 2021
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
L4DC 2021