Tag Chaser v2 — measuring AprilTag PnP noise before picking a filter
5/10The article discusses Tag Chaser v2, which measures AprilTag PnP noise to select appropriate filters, addressing jitter in RViz trajectories.

Tech • IA • Crypto
11 articles analyzed by AI / 24 total
The article discusses Tag Chaser v2, which measures AprilTag PnP noise to select appropriate filters, addressing jitter in RViz trajectories.
Researchers at the University of Michigan released AFUN, a system for robot affordance understanding, enhancing autonomous capabilities.
AI robot paths split as humanoid prices plunge, industrial orders hit record digitimes
Video Shows Humanoid Robot 'Begging' In China, Claims It Has 'No Money To Recharge' NDTV
I recently visited a robotics space that’s focused specifically on humanoid robots. Not industrial arms, warehouse AGVs, or general automation, but bipedal / human-form platforms. It’s part of an incubator-style setup for early-stage teams working in this niche. What surprised me most wasn’t actually the full robots. The complete humanoid demos were interesting, of course, but the component side stood out more: actuators, dexterous hands, sensing systems, and all the less visible hardware that makes these machines possible. It made me think that the real progress may be happening below the “
Weekend project, one weekend in — lots still half-built: a 6-DoF SO-101 arm (Feetech STS3215 / LeRobot) with a wrist camera, driven by an agent that plans camera moves, films them, and stitches the edit. Sharing v1 — rough, but the loop works. The demo is a side-by-side: left is an external phone shot (manual), right is the arm's own wrist camera. The choreography — wake → framed "hero" pose → dolly/roll/tilt beats → rest — runs through a safety layer (soft joint limits + velocity cap + stop sentinel). A few things I hit that others might find useful: 🔧 Dead elbow servo, diagnosed by feel.
Has anyone encountered the Stretch robot from Boston Dynamics in any warehouses? If so - how smoothly does it actually run in terms of package handling and errors? I’ve seen plenty of demos online, yet all the boxes are presented in a way that just isn’t realistic? (They’re perfectly stacked and flat) Just curious as I’ve been looking for an answer but nothing online. Is the technology as reliable as they’re stating? submitted by /u/roboticist-666 [link] [comments]
After workers, beggars replaced by robots: Viral video from China makes netizens question if begging will face layoffs MSN
submitted by /u/iena2003 [link] [comments]
I'm reading the papers of Cosmos3 and Dreamzero and they looks very promising (compared to memoryless VLAs). And I am wondering where the filed will evolve. Based on your practical experience with new models, what's your bet between VLAs, WM, Jepa-style, WAM, RL approaches, and all of that? I worked so far with VLAs (eg pi05), and I don't have any experience in using the nvidia stack so far, of and other world action models. I am thinking if I should invest time in changing the base policy, and I'd appreciate some feedback form who has tested them (ie: the open source/weights model availab