35:40

Theoretical foundations and applications of integrated learning architectures for graphs

01:18:01

Linear Constrained Optimization

06:57

Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction

06:34

Disentangled Neural Relational Inference for Interpretable Motion Prediction

07:38

Constrained Hierarchical Monte Carlo Belief-State Planning

37:25

Planning under Uncertainty in Safety-Critical Systems

27:26

Agents for safety-critical applications

02:40

Large-scale multi-robot assembly planning for autonomous manufacturing

05:00

AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator

34:51

The Stanford Intelligent Systems Laboratory

06:20

SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning

44:01

Robotic Path Planning with Sparse Environment Representations

09:59

Bayesian Safety Validation for Black-Box Systems

51:52

Spatiotemporal Occupancy Prediction for Autonomous Driving

43:56

Safe Machine Learning-Based Perception via Closed-Loop Analysis

05:29

Risk-Driven Design of Perception Systems

41:28

Extending Neural Network Verification Tools to Nonlinear Systems

54:00

Trustworthy Machine Learning by Efficiently Verifying Compressed Models

43:44

Probabilistic Modeling of Air and Ground Vehicle Trajectories

42:05

Structured Cooperative Multi-Agent Coordination

51:30

Reinforcement Learning for Adaptive Sampling in X-ray Applications

41:01

Uncertainty-Aware Spatiotemporal Perception for Autonomous Vehicles

44:50

Monte Carlo Planning and Reinforcement Learning for Large Scale Sequential Decision Problems

03:01

Multi-agent variational occlusion inference using people as sensors

01:02

Congested Traffic Scenario

01:01

Free-Flow Traffic Scenario

15:31

Verification of Image-based Neural Network Controllers using Generative Models

42:18

Deep Reinforcement Learning Methods for Autonomous Driving Safety and Interactivity

44:07

Wearable Systems for Monitoring Physical Activity and Optimizing an Exoskeleton

56:17

Algorithms for Multi-Agent Robotic Assembly Planning

47:54

Hierarchical Decision Making in Coordinated Multi-Robot Networks

38:39

Data-Driven Modeling of Dynamical Systems

46:53

Reinforcement learning: When can we do sample efficient exploration?

48:29

Approximate Methods for Validating Autonomous Systems in Simulation

38:22

Task Planning for Earth Observing Satellite Systems

41:09

Modeling Human Driving from Demonstrations

38:39

Automated Decision Making for Safety Critical Applications

38:04

Algorithms for Black-Box Safety Validation

14:19

Generating Probabilistic Safety Guarantees for Neural Network Controllers

44:38

Jayesh K. Gupta's Thesis Defense

21:46

Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction

14:56

Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing

14:52

Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic

12:57

Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM

57:15

Kyle Julian's Ph.D. thesis defense

04:06

Structured Mechanical Models for Robot Learning and Control

25:40

Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations

09:59

Multi-Drone Delivery using Transit (ICRA 2020 Best Paper Finalist in Multi-Robot Systems)

43:12

Maxime Bouton's Ph.D. thesis defense

44:49

Zouhair Mahboubi's PhD thesis defense

52:57

Zach Sunberg's Ph.D. thesis defense

55:42

Jeremy Morton's Ph.D. thesis defense

38:22

Rachael Tompa's Ph.D. thesis defense

01:20

DREAMR - Supplementary Video 2 (Map Example)

02:22

Model-Based Reinforcement Learning on a Double Pendulum Domain

01:44

DREAMR - Supplementary Video

01:43

subpolicy north

01:17

subpolicy box2 reachabove

01:17

subpolicy box2 drop

01:17

subpolicy box2 grasp