The progress of autonomous robotic systems on Earth and in space.

The Future of Everything

Russ Altman, Marco Pavone

The future of autonomous vehicles

OCT 25, 202429 MIN
The Future of Everything

The future of autonomous vehicles

OCT 25, 202429 MIN

Description

Returning guest Marco Pavone is an expert in autonomous robotic systems, such as self-driving cars and autonomous space robots. He says that there have been major advances since his last appearance on the show seven years ago, mostly driven by leaps in artificial intelligence. He tells host Russ Altman all about the challenges and progress of autonomy on Earth and in space in this episode of Stanford Engineering’s The Future of Everything podcast.

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Chapters:

(00:00:00) Introduction

Russ Altman introduces guest Marco Pavone, a professor of aeronautics and astronautics at Stanford.

(00:02:37) Autonomous Systems in Everyday Life

Advancements in the real-world applications of autonomous systems.

(00:03:51) Evolution of Self-Driving Technologies

The shift from fully autonomous cars to advanced driver assistance systems.

(00:06:36) Public Perception of Autonomous Vehicles

How people react to and accept autonomous vehicles in everyday life.

(00:07:49) AI’s and Autonomous Driving

The impact of AI advancements on autonomous driving performance.

(00:09:52) Simulating Edge Cases for Safety

Using AI to simulate rare driving events to improve safety and training.

(00:12:04) Autonomous Vehicle Communication

Communication challenges between autonomous vehicles and infrastructure.

(00:15:24) Risk-Averse Planning in Autonomous Systems

How risk-averse planning ensures safety in autonomous vehicles.

(00:18:43) Autonomous Systems in Space

The role of autonomous robots in space exploration and lunar missions.

(00:22:47) Space Debris and Collision Avoidance

The challenges of space debris and collision avoidance with autonomous systems.

(00:24:39) Distributed Autonomous Systems for Space

Using distributed autonomous systems in space missions for better coordination.

(00:28:40) Conclusion

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