I just checked the current LaMAria leaderboard. The gap to Aria's SLAM is much smaller. All methods in the sceenshot except Aria's SLAM are posted within one month. Wild. #SLAM #VIO #LaMAriaView quoted post on X
we had a provocative session on what it takes for robots to keep getting better once they’re out in the world.
our speakers weren’t afraid to differ in their take on what actually works in the real world when it comes to data collection, business models and hardware form factors.
we are so early.
we heard from:
@itsmanesh of @Flo_Mobility on everything a robot needs around it to keep working on site.
@levelheaded_94 of @fpv_labs on scaling human data for robot learning.
@suvonilc of manav robotics on why the moments a person steps in are the most valuable data there is.
prateesh awasthi of @armatrix_IN on pairing learning with optimisation for precise, safe control.
they did agree that the hardest work starts after a robot ships, the field is split on what data matters most, and evaluation is still the bottleneck.
in fact, India’s conditions are hard on robots and very good for the data they produce, which is why we think India can win physical AI.
the session ran far over time and we loved the high trust energy of the room.
thank you to the founders for being so open, and to @Qualcomm_Dev for co-hosting the conversation.
part 2 coming soon.
wrap notes in the comments.View quoted post on X
🚨 New Open Source Release
Today we are releasing Ego-OSCAR, an open-source head-mounted stereo-inertial capture device for egocentric data collection in the wild, together with a corresponding dataset of 550 hours captured across 100+ environments.
Egocentric data is still an active research problem, and we believe an open and accessible foundation will empower everyone to participate, experiment, build, and contribute to this space.
This continues our past efforts, where we open-sourced Stera, a full-stack capture and processing pipeline for RGB-D data. Ego-OSCAR builds on that lineage and offers a fully open-source stereo-inertial capture stack for anyone working on human-to-robot transfer.
We make three core contributions today with Ego-OSCAR:
1. An open-hardware capture device with full CAD, wiring, and assembly documentation, with a complete bill of materials under USD 200 and using commercially available components and 3D-printed parts.
2. An open-source capture pipeline (recording daemon, IMU sampler, time-sync tooling, watchdog firmware).
3. The Ego-OSCAR-550h dataset, approximately 550 hours of egocentric stereo video per camera with synchronized IMU, released to validate the device at deployment scale.
Everything is open-source, including the hardware designs, capture pipeline, firmware, and the downstream dataset.
Read the full blog at: fpvlabs.ai/essays/ego-osc…View quoted post on X
