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Autonomous Aerial Disaster Relief with Head of Engineering Ian Foster

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Manage episode 345536128 series 3321644
Content provided by Rob Stevenson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rob Stevenson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Ian discusses what unique problems aerial automated vehicles face, how segregations in the air affect flying, how the vehicles land, and how they know where to land. Animal Dynamics' goal is to phase out humans in their technology entirely and Ian explains the human involvement in the process before telling us where he sees this technology fitting in with disaster response in the future.

Key Points From This Episode:

  • An introduction to today’s guest, Ian Foster.
  • A brief overview of Ian’s background and how he ended up at Animal Dynamics.
  • Ian shares the mission of Animal Dynamics and how that’s being carried out.
  • What the delivery mechanism is and what the technology is delivering.
  • Why air is best for this kind of delivery and why it’s best not to use pilots.
  • The challenges in an aerial automated vehicle.
  • How segregations in the air affect this technology and how they’re combatting these issues.
  • Ian tells us which is more difficult: to park a car autonomously or land a plane autonomously.
  • How their vehicles land themselves.
  • How they are training the technology to notice safe landing zones.
  • How humans come into this AI technology and why they’re being phased out slowly.
  • What Ian thinks the future and long-term opportunities are for Animal Dynamic’s technology.

Tweetables:

“Drawing inspiration from the natural world to help address problems is very much the ethos of what Animal Dynamics is all about.” — Ian Foster [0:02:06]

“Data for autonomous aircraft is definitely a big challenge, as you might imagine.” — Ian Foster [0:16:17]

We're not aiming to just jump straight to full autonomy from day one. We operate safely within a controlled environment. As we prove out more aspects of the system performance, we can grow that envelope and then prove out the next level.” — Ian Foster [0:19:01]

“Ultimately, the desire is that the systems basically look after themselves and that humans are only involved in telling the thing where to go, and then the rest is delivered autonomously.” — Ian Foster [0:23:45]

“The important thing for us is to get out there and start making a difference to people. So we need to find a pragmatic and safe way of doing that.” — Ian Foster [0:23:57]

Links Mentioned in Today’s Episode:

Ian Foster on LinkedIn

Animal Dynamics

How AI Happens

Sama

  continue reading

99 episodes

Artwork
iconShare
 
Manage episode 345536128 series 3321644
Content provided by Rob Stevenson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rob Stevenson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Ian discusses what unique problems aerial automated vehicles face, how segregations in the air affect flying, how the vehicles land, and how they know where to land. Animal Dynamics' goal is to phase out humans in their technology entirely and Ian explains the human involvement in the process before telling us where he sees this technology fitting in with disaster response in the future.

Key Points From This Episode:

  • An introduction to today’s guest, Ian Foster.
  • A brief overview of Ian’s background and how he ended up at Animal Dynamics.
  • Ian shares the mission of Animal Dynamics and how that’s being carried out.
  • What the delivery mechanism is and what the technology is delivering.
  • Why air is best for this kind of delivery and why it’s best not to use pilots.
  • The challenges in an aerial automated vehicle.
  • How segregations in the air affect this technology and how they’re combatting these issues.
  • Ian tells us which is more difficult: to park a car autonomously or land a plane autonomously.
  • How their vehicles land themselves.
  • How they are training the technology to notice safe landing zones.
  • How humans come into this AI technology and why they’re being phased out slowly.
  • What Ian thinks the future and long-term opportunities are for Animal Dynamic’s technology.

Tweetables:

“Drawing inspiration from the natural world to help address problems is very much the ethos of what Animal Dynamics is all about.” — Ian Foster [0:02:06]

“Data for autonomous aircraft is definitely a big challenge, as you might imagine.” — Ian Foster [0:16:17]

We're not aiming to just jump straight to full autonomy from day one. We operate safely within a controlled environment. As we prove out more aspects of the system performance, we can grow that envelope and then prove out the next level.” — Ian Foster [0:19:01]

“Ultimately, the desire is that the systems basically look after themselves and that humans are only involved in telling the thing where to go, and then the rest is delivered autonomously.” — Ian Foster [0:23:45]

“The important thing for us is to get out there and start making a difference to people. So we need to find a pragmatic and safe way of doing that.” — Ian Foster [0:23:57]

Links Mentioned in Today’s Episode:

Ian Foster on LinkedIn

Animal Dynamics

How AI Happens

Sama

  continue reading

99 episodes

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