arXiv (All)
open access
Skill Sequence Planning for Collaborative Multi-Robot Construction
Robots have significant potential to automate construction processes. However, their industry adoption remains limited, partly because of the programming effort required to adapt robots to diverse tasks. This paper presents a skill sequence planning method that enables a heterogeneous team of multi-
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- WRAP: Fixtureless Wrench-aware Multi-Robot Assembly Planning#1077336
- CAD-Based Relation Learning and Geometric-Symbolic Planning for Robotic Assembly#1123641
- Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation#1061964
- Multimodal AI agent for orchestration of mobile robotic tasks in flexible assembly automation / Lucas Manassés Pinheiro de Souza, Vishnu Murugasamy, Alexander Moriz, Amon Mirko Robin Göppert, Robert H. Schmitt#629002
- Hybrid Artificial Potential Fields and Spatio-Temporal Transformers for Real-Time AUV Path Planning#615118
Record · ID 1061285
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive