[Theory] TOMORROW: 8/19 Thesis Defense: Jiading Fang, TTIC
Mary Marre via Theory
theory at mailman.cs.uchicago.edu
Sun Aug 18 15:08:52 CDT 2024
*When*: Monday, August 19th from *3:00pm - 4:00pm CT*
*Where*: Talk will be given *live, in-person* at
TTIC, 6045 S. Kenwood Avenue
4th Floor, *Room 431*
*Virtually*: via *Zoom*
<https://uchicagogroup.zoom.us/j/92331286511?pwd=SHcVZzcV7veJX8xkMN505hWA1tqxGE.1>
*Who: * Jiading Fang, TTIC
*Title*: Embodied Spatial Intelligence: from implicit scene modeling to
spatial reasoning
*Abstract*: Humans live in a 3D space, and so do all other animals. A
defining characteristic that sets us apart is our ability to deploy
intention into spatially organized plans. Our actions are not merely
reactive, but may be executed in long-horizon over spatial or temporal
dimension. We assign semantics into the 3D world, and understand them in a
hierarchical way that could be communicated with natural language.
Robots today need the same capability to be able to interact with and serve
us in the same 3D world we live in. While they may have powerful motors and
unbreakable steel bodies, challenges exist for them to understand the world
as we do with their perception systems: 1) the ability to accurately and
robustly perceive the complicated 3D world; and 2) the ability to reason
over the spatial concepts they observe. This thesis attempts to build
solutions towards addressing these two challenges.
*Thesis Committee: *Matthew R. Walter (Thesis Advisor), Gregory
Shakhnarovich, Adrien Gaidon, Mac Schwager
Mary C. Marre
Faculty Administrative Support
*Toyota Technological Institute*
*6045 S. Kenwood Avenue, Rm 517*
*Chicago, IL 60637*
*773-834-1757*
*mmarre at ttic.edu <mmarre at ttic.edu>*
On Fri, Aug 16, 2024 at 6:49 PM Mary Marre <mmarre at ttic.edu> wrote:
> *When*: Monday, August 19th from *3:00pm - 4:00pm CT*
>
> *Where*: Talk will be given *live, in-person* at
> TTIC, 6045 S. Kenwood Avenue
> 4th Floor, *Room 431*
>
> *Virtually*: via *Zoom*
> <https://uchicagogroup.zoom.us/j/92331286511?pwd=SHcVZzcV7veJX8xkMN505hWA1tqxGE.1>
>
>
> *Who: * Jiading Fang, TTIC
>
>
> *Title*: Embodied Spatial Intelligence: from implicit scene modeling to
> spatial reasoning
> *Abstract*: Humans live in a 3D space, and so do all other animals. A
> defining characteristic that sets us apart is our ability to deploy
> intention into spatially organized plans. Our actions are not merely
> reactive, but may be executed in long-horizon over spatial or temporal
> dimension. We assign semantics into the 3D world, and understand them in a
> hierarchical way that could be communicated with natural language.
>
>
>
> Robots today need the same capability to be able to interact with and
> serve us in the same 3D world we live in. While they may have powerful
> motors and unbreakable steel bodies, challenges exist for them to
> understand the world as we do with their perception systems: 1) the ability
> to accurately and robustly perceive the complicated 3D world; and 2) the
> ability to reason over the spatial concepts they observe. This thesis
> attempts to build solutions towards addressing these two challenges.
>
> *Thesis Committee: *Matthew R. Walter (Thesis Advisor), Gregory
> Shakhnarovich, Adrien Gaidon, Mac Schwager
>
>
> Mary C. Marre
> Faculty Administrative Support
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue, Rm 517*
> *Chicago, IL 60637*
> *773-834-1757*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
>
> On Wed, Aug 14, 2024 at 10:17 AM Mary Marre <mmarre at ttic.edu> wrote:
>
>> *When*: Monday, August 19th from *3:00pm - 4:00pm CT*
>>
>> *Where*: Talk will be given *live, in-person* at
>> TTIC, 6045 S. Kenwood Avenue
>> 4th Floor, *Room 431*
>>
>> *Virtually*: via *Zoom*
>> <https://uchicagogroup.zoom.us/j/92331286511?pwd=SHcVZzcV7veJX8xkMN505hWA1tqxGE.1>
>>
>>
>> *Who: * Jiading Fang, TTIC
>>
>>
>>
>> *Title*: Embodied Spatial Intelligence: from implicit scene modeling to
>> spatial reasoning
>>
>> *Abstract*: Humans live in a 3D space, and so do all other animals. A
>> defining characteristic that sets us apart is our ability to deploy
>> intention into spatially organized plans. Our actions are not merely
>> reactive, but may be executed in long-horizon over spatial or temporal
>> dimension. We assign semantics into the 3D world, and understand them in a
>> hierarchical way that could be communicated with natural language.
>>
>>
>>
>> Robots today need the same capability to be able to interact with and
>> serve us in the same 3D world we live in. While they may have powerful
>> motors and unbreakable steel bodies, challenges exist for them to
>> understand the world as we do with their perception systems: 1) the ability
>> to accurately and robustly perceive the complicated 3D world; and 2) the
>> ability to reason over the spatial concepts they observe. This thesis
>> attempts to build solutions towards addressing these two challenges.
>>
>> *Thesis Committee: *Matthew R. Walter (Thesis Advisor), Gregory
>> Shakhnarovich, Adrien Gaidon, Mac Schwager
>>
>>
>>
>>
>> Mary C. Marre
>> Faculty Administrative Support
>> *Toyota Technological Institute:00 pm*
>> *6045 S. Kenwood Avenue, Rm 517*
>> *Chicago, IL 60637*
>> *773-834-1757*
>> *mmarre at ttic.edu <mmarre at ttic.edu>*
>>
>
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