AI & ML
Towards Autonomous Bricklaying Using Boston Dynamics Spot
arXiv cs.RO0 views
arXiv:2610.27472v1 Announce Type: new Abstract: Mobile legged robots offer unique advantages for on-site construction, including the ability to traverse unstructured terrain, climb stairs, and operate independently between spatially separated work zones. This paper presents a proof-of-concept system for autonomous brick stacking using a Boston Dynamics Spot quadrupedal robot equipped with a manipulator arm. The system operates between a supply area and an assembly area, using AprilTag fiducials for localization and autowalk missions for navigation. Target brick positions and orientations are specified in CAD software and exported directly for robotic execution. We evaluate placement accuracy through ten repeated assemblies of a curved four-layer wall comprising 14 wooden bricks. Results show mean translation errors below 10 mm and mean yaw errors below 1.5 degrees, while the overall RMSE across all runs is 27.72 mm (translation) and 2.06 degrees (rotation). The system was also tested outdoors with stairs between the two areas. The workflow is modular and easily extendable to different wall geometries.
Source:https://arxiv.org/abs/2610.27472PreviousReal-Time Disturbance-Aware Koopman Model Predictive Control for Quadrotors in Spatially Varying WindsNextHATCH: Hardware-Attested Task Chains for Verifiable Manipulation
Related posts
C64 Basic Dungeon Crawler: Stairs, Levels and Levelling Up (Part 11)
0Hacker News
Anthropic's internal AI use, at retail prices, now exceeds its employee pay
0Hacker News
Launch HN: Momentic (YC W24) – Agents that catch bugs by using your app
0Hacker News

Behavioral Design Unpacked: Nudges, Funnels & Persuasion | UX Unpacked #3
0dev.to UX
National Grid buys Teesside land for UK largest substation to power AI data center
0dev.to News

Leonardo AI Alternative in 2026
0dev.to Discuss