01:18:31

What makes learning to control easy or hard?

01:07:41

Learning-based Koopman modeling for efficient state estimation and control of nonlinear processes

01:02:02

Towards safe and resilient autonomy using synergistic control, observation and learning

55:57

Competence-aware Planning and Control

03:16:31

Enabling automatic building envelope retrofits using controls and machine learning

59:09

Robust Online Convex Optimization for Disturbance Rejection

57:28

Frontiers of Autonomous Space Systems: Navigating the Future of Exploration and Technology

01:01:50

Low Gain Feedback for Linear Systems: Input Saturation and Input Delay

01:14:20

Leveraging Data and the Koopman Operator to Make Soft Robots More Capable

01:02:01

Grid Integration of Distributed Energy Resources:Aggregate Flexibility Quantification+Market Partici

57:01

Surprising smoothness in common multi-contact collisions (Intro not recorded)

58:18

Advanced, Adaptive and Flexible Algorithms for Decentralized Optimization

51:03

Theoretical Foundation of Learning-based Planning for Linear Temporal Logic Objectives

01:28:10

Flight testing active flutter control technology on a conventional configuration UAS

01:18:21

Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI

59:15

Physics-Guided Data-Driven Modeling for Control in Additive Manufacturing

01:05:15

Optimal and Distributed Control in Animals

01:01:23

Hierarchical Optimization-Based Control for Agile and Adaptive Legged Robots

01:09:46

Are CMDPs Fundamentally Harder than MDPs?

56:19

Formal Methods for Safety-Critical Control

59:02

Resilience in State Estimation and System Identification

57:50

Energy maximizing control of wave energy systems – the COER way!

01:02:02

Research problems of my life: Overview and advice for the inspired

01:01:32

Hierarchical Optimization-Based Control for Agile and Adaptive Legged Robots

59:47

Set-Based Methods for Hierarchical Model Predictive Control and Beyond

01:11:41

Control co-design of Renewable Energy Harvesting Systems

54:13

Multi-fidelity Gaussian Processes for Human-Agent Teaming

54:33

Modelling, Dynamics and Control of Aggregate Loads

01:05:39

Sink or Swim: Control of Floating Offshore Wind Turbines

01:09:07

Modeling and Stability Analysis of Epidemic Dynamics over Networks

01:00:05

Enabling a responsive grid with distributed load control and optimization

01:00:48

Control design based on deep learning

01:01:52

Equitable Dynamic Systems Engineering

01:01:28

Easy, hard or convex?: The role of sparsity and structure in control oriented machine learning

01:01:11

How Do We Learn to Use Learning in Manufacturing Systems

56:49

Progress in Symmetry Preserving Robot Control

58:20

A Dynamic Obfuscation Framework for Privacy and Utility

01:02:07

Motion in the Ocean – Revolutionizing Marine Hydrokinetic Energy Harvesting Through the Optimal.....

01:00:11

Control barrier functions & neural networks for handling risk and uncertainty in autonomous systems

01:01:49

Understanding the Utility of Haptic Feedback in Telerobotic Devices

50:06

Control co-Design: Challenges and Opportunities for Ocean Wave Energy Conversion

01:04:48

New Complexities in new Aviation: UTM, UAM, and RAM

01:00:24

Why would one want a multi-agent system unstable

01:02:55

The online convex optimization approach to control

59:22

A unifying, data-driven view of locomotion

57:30

Self-Powered Linear Feedback Control: Necessary and Sufficient Conditions

01:06:13

Identification, Prediction, and Control of Disruptions in Airline Networks