diff --git a/_schedule/talk_05_panel.md b/_schedule/talk_05_panel.md index 2be0eca..7631d5c 100644 --- a/_schedule/talk_05_panel.md +++ b/_schedule/talk_05_panel.md @@ -1,6 +1,7 @@ --- sequence_id: 5 -speaker: TBD +speaker: Check out our panelists! +webpage: ../panel title: Panel Discussion # Image img: panel.png diff --git a/_schedule/talk_06_closing.md b/_schedule/talk_06_closing.md index 2b74ad5..1bd21d5 100644 --- a/_schedule/talk_06_closing.md +++ b/_schedule/talk_06_closing.md @@ -1,6 +1,6 @@ --- sequence_id: 6 -speaker: Organisezs +speaker: Organisers # Image img: medal.png title: Awards and closing remarks diff --git a/_site/404.html b/_site/404.html index 9e8f5f3..212fecf 100644 --- a/_site/404.html +++ b/_site/404.html @@ -13,7 +13,7 @@ +{"headline":"Standing the Test of Time Workshop","url":"http://localhost:4000/404.html","@type":"WebPage","@context":"https://schema.org"} diff --git a/_site/callforpapers/index.html b/_site/callforpapers/index.html index 637a333..ed6a9b7 100644 --- a/_site/callforpapers/index.html +++ b/_site/callforpapers/index.html @@ -13,7 +13,7 @@ +{"headline":"Call for Papers","url":"http://localhost:4000/callforpapers/","@type":"WebPage","@context":"https://schema.org"} diff --git a/_site/contactus/index.html b/_site/contactus/index.html index af1b2e6..c40f609 100644 --- a/_site/contactus/index.html +++ b/_site/contactus/index.html @@ -13,7 +13,7 @@ +{"headline":"Contact Us","url":"http://localhost:4000/contactus/","@type":"WebPage","@context":"https://schema.org"} diff --git a/_site/feed.xml b/_site/feed.xml index 837a087..cbd2dfd 100644 --- a/_site/feed.xml +++ b/_site/feed.xml @@ -1 +1 @@ -Jekyll2024-09-05T12:34:56-04:00http://localhost:4000/feed.xmlStanding the Test of Time Workshop \ No newline at end of file +Jekyll2024-09-05T17:39:59-04:00http://localhost:4000/feed.xmlStanding the Test of Time Workshop \ No newline at end of file diff --git a/_site/index.html b/_site/index.html index 94c36ee..9028d22 100644 --- a/_site/index.html +++ b/_site/index.html @@ -13,7 +13,7 @@ +{"name":"Standing the Test of Time Workshop","headline":"Home","url":"http://localhost:4000/","@type":"WebSite","@context":"https://schema.org"} @@ -50,7 +50,7 @@

Handling multiple data modalities, levels of abstraction, and types of information (metric, topological, semantic, objects, etc.) remains challenging — even more so in so-called lifelong settings where robots must maintain world models over extended periods of time. Over the last forty years, roboticists have used techniques from many machine learning and statistics paradigms for mapping. However, none have been nearly as transformative as deep learning, and we believe we are now at an inflection point in the pace of adoption and proliferation of deep learning techniques for representing models of the world suited to robotics.

-

Such a moment offers an opportunity for retrospection: to consider lessons from previous eras of research that have stood the test of time, to carry such lessons forward into an age of research dominated by models relying on latent representations, and to understand in hindsight the limits and blind spots of previous paradigms. Looking forward, we also hope to: make progress understanding the tradeoffs presented by newer learning and representation techniques, share and discuss new examples of state-of-the-art technical approaches for robotic mapping and modeling, and develop a shared view of the new frontier of challenges facing such systems as they are deployed in ever more challenging domains.

+

Such a moment offers an opportunity for retrospection: to consider lessons from previous eras of research that have stood the test of time, to carry such lessons forward into an age of research dominated by models relying on latent representations, and to understand in hindsight the limits and blind spots of previous paradigms. Looking forward, we also hope to: make progress understanding the tradeoffs presented by newer learning and representation techniques, share and discuss new examples of state-of-the-art technical approaches for robotic mapping and modeling, and develop a shared view of the new frontier of challenges facing such systems as they are deployed in ever more challenging domains.

diff --git a/_site/organizers/index.html b/_site/organizers/index.html index 730a62d..20e6ce1 100644 --- a/_site/organizers/index.html +++ b/_site/organizers/index.html @@ -13,7 +13,7 @@ +{"headline":"Organizers","url":"http://localhost:4000/organizers/","@type":"WebPage","@context":"https://schema.org"} diff --git a/_site/panel/index.html b/_site/panel/index.html index ab1c85a..5e1032e 100644 --- a/_site/panel/index.html +++ b/_site/panel/index.html @@ -13,7 +13,7 @@ +{"headline":"Panel","url":"http://localhost:4000/panel/","@type":"WebPage","@context":"https://schema.org"} diff --git a/_site/papers/index.html b/_site/papers/index.html index dafb7c6..08a65a5 100644 --- a/_site/papers/index.html +++ b/_site/papers/index.html @@ -13,7 +13,7 @@ +{"headline":"Papers","url":"http://localhost:4000/papers/","@type":"WebPage","@context":"https://schema.org"} diff --git a/_site/schedule/index.html b/_site/schedule/index.html index 9ccab88..fefe62b 100644 --- a/_site/schedule/index.html +++ b/_site/schedule/index.html @@ -13,7 +13,7 @@ +{"headline":"Schedule","url":"http://localhost:4000/schedule/","@type":"WebPage","@context":"https://schema.org"} @@ -260,7 +260,7 @@

Schedule

- TBD + Check out our panelists!
@@ -297,7 +297,7 @@

Schedule

- Organisezs + Organisers
diff --git a/_site/speakers/index.html b/_site/speakers/index.html index 1efd171..322ca85 100644 --- a/_site/speakers/index.html +++ b/_site/speakers/index.html @@ -13,7 +13,7 @@ +{"headline":"Speakers","url":"http://localhost:4000/speakers/","@type":"WebPage","@context":"https://schema.org"} diff --git a/index.md b/index.md index 55e9ee0..a3ab04c 100644 --- a/index.md +++ b/index.md @@ -18,7 +18,7 @@ Accurate, informative, and scalable world representations are an essential compo Handling multiple data modalities, levels of abstraction, and types of information (metric, topological, semantic, objects, etc.) remains challenging --- even more so in so-called lifelong settings where robots must maintain world models over extended periods of time. Over the last forty years, roboticists have used techniques from many machine learning and statistics paradigms for mapping. However, none have been nearly as transformative as deep learning, and we believe we are now at an inflection point in the pace of adoption and proliferation of deep learning techniques for representing models of the world suited to robotics. -Such a moment offers an opportunity for retrospection: to consider lessons from previous eras of research that have stood the test of time, to carry such lessons forward into an age of research dominated by models relying on latent representations, and to understand in hindsight the limits and blind spots of previous paradigms. Looking forward, we also hope to: make progress understanding the tradeoffs presented by newer learning and representation techniques, share and discuss new examples of state-of-the-art technical approaches for robotic mapping and modeling, and develop a shared view of the new frontier of challenges facing such systems as they are deployed in ever more challenging domains. +Such a moment offers an opportunity for retrospection: to consider lessons from previous eras of research that have stood the test of time, to carry such lessons forward into an age of research dominated by models relying on latent representations, and to understand in hindsight the limits and blind spots of previous paradigms. Looking forward, we also hope to: make progress understanding the tradeoffs presented by newer learning and representation techniques, share and discuss new examples of state-of-the-art technical approaches for robotic mapping and modeling, and develop a shared view of the new frontier of challenges facing such systems as they are deployed in ever more challenging domains. ![](assets/img/dalle_generated_banner.png)