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Stanford Robotics Seminar ENGR319 | Autumn 2026 | Skydio: Autonomy for a Family of Flying Robots

11K views · 2d ago · 1:09:36

For more information about Stanford’s graduate programs, visit October 9, 2026 This seminar covers How Skydio’s autonomy stack enables flying robots to navigate complex environments, track subjects, and execute missions from high-level operator commands The full autonomy stack powering Skydio’s flying robots, spanning both cloud and edge computing The F10 Lightrunner, Skydio’s recently unveiled aircraft with a distinctive asymmetric design How the F10 extends autonomy to…

Stanford Robotics Seminar ENGR319 | Autumn 2026 | Bridging Rigorous Methods with Machine Learning

2.5K views · 3d ago · 1:01:52

Guest: Machine Learning

For more information about Stanford’s graduate programs, visit October 2, 2026 This seminar covers Why learning-based controllers struggle with real-world deployment: we can’t guarantee a learned policy is safe, and we can’t efficiently find the rare scenarios where it fails A new approach that closes the loop between synthesis (building safe policies) and falsification (finding where they break) How neural certificates can be formulated as value functions in reinforcement…

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Multi-Sensor Fusion

8K views · 6d ago · 1:16:24

Guest: Multi-Sensor Fusion

For more information about Stanford’s graduate programs, visit Lecture 20 — Multi-Sensor Perception and Sensor Fusion Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.

Stanford Course Overview: Validation of Safety Critical Systems (AA228V)

7.6K views · 6d ago · 3:04

Guest: Stanford Course Overview

Autonomous systems can't be trusted in the real world until you've found how they fail. In this course overview video for Validation of Safety Critical Systems (AA228V), Stanford's Sydney Katz, Lecturer, and Mykel Kochenderfer, Associate Professor, explain how.

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | EKF SLAM

9.5K views · 1w ago · 1:18:58

For more information about Stanford’s graduate programs, visit Lecture 18 — EKF SLAM Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | The Robot Operating System (ROS)

13K views · 1w ago · 1:14:06

For more information about Stanford’s graduate programs, visit Guest Lecture — The Robot Operating System (ROS) Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.

Stanford CS547 HCI Seminar | Autumn 2026 | Designing AI for Societal Good

9.7K views · 1w ago · 56:34

For more information about Stanford’s graduate programs, visit October 9, 2026 This lecture covers Improving generative AI chatbots' influence on public mental health as a case study A new way of thinking about "designing AI for societal good," namely "designing AI as planting seeds" (of better business models, policy, and politics) Early work that explores this design practice and research agenda

Stanford EE292R AI and Data for Science | Autumn 2026 | From World Models to World Agents

30K views · 1w ago · 54:31

For more information about Stanford’s graduate programs, visit This lecture is from Stanford EE292R AI and Data for Science, and it covers recent advances in video world models, specifically focusing on enhancing temporal consistency and reasoning across long contexts, as well as mitigating auto-regressive drift, and explores the integration of multi-agent dynamics and the development of effective human-centric conditioning and control strategies.

Stanford CS547 HCI Seminar | Autumn 2026 | Sensing Uncertainty in Sustainable HCI

7.5K views · 1w ago · 1:00:15

For more information about Stanford’s graduate programs, visit October 2, 2026 This lecture covers Sensing uncertainty When a sensor may not be reporting on an event as it occurred How user interfaces (UIs) and their underlying technology shape epistemic position Embracing uncertainty as a central research question

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | EKF Localization

9.2K views · 1w ago · 1:18:27

Guest: EKF Localization

For more information about Stanford’s graduate programs, visit Lecture 17 — EKF Localization Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.

Webinar: Regulating at the Speed of AI with Francis Fukuyama and Nate Persily

8K views · 1w ago · 56:46

Guest: Francis Fukuyama

Learn more about about AI, Power and the New Rules of Global Strategy In this webinar, Francis Fukuyama, Olivier Nomellini Senior Fellow at Stanford’s Freeman Spogli Institute for International Studies, interviews Nathaniel Persily, James B. McClatchy Professor of Law at Stanford Law School and co-director of the Stanford Law AI Initiative.

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Parametric Filtering

8.1K views · 1w ago · 1:17:37

Guest: Parametric Filtering

For more information about Stanford’s graduate programs, visit Lecture 15 — Parametric Filtering (KF, EKF, UKF) Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.

Stanford CME295 Transformers & LLMs | Autumn 2026 | Lecture 4 - Reinforcement Learning with LLMs

75K views · 1w ago · 1:43:27

For more information about Stanford’s graduate programs, visit To follow along with the course schedule and syllabus, visit Afshine Amidi is an Adjunct Professor at Stanford University. Shervine Amidi is an Adjunct Professor at Stanford University.

Topics: RL setup · Reward design · Policy gradient · Derivation of the gradient · REINFORCE · Importance sampling ratio

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Localization & Filters

13K views · 2w ago · 1:17:20

For more information about Stanford’s graduate programs, visit Lecture 14 — Introduction to Localization and Filtering Theory Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.

Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Classic Visual Recognition

15K views · 2w ago · 1:19:31

Guest: Classic Visual Recognition

For more information about Stanford’s graduate programs, visit Lecture 12 — Information Extraction and Classic Visual Recognition Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video.