Collision-Free Velocity Scheduling for Multi-Agent Systems on Predefined Routes via Inexact-Projection ADMM
Collision-Free Velocity Scheduling for Multi-Agent Systems on Predefined Routes via Inexact-Projection ADMM explores Optimizing waypoint passage times for multi-agent systems on predefined routes to improve efficiency and avoid collisions.. Commercial viability score: 3/10 in Robotics.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisADMM-based Continuous Trajectory Optimization in Graphs of Convex SetsViability: 2.0
- Higher ViabilityACLM: ADMM-Based Distributed Model Predictive Control for Collaborative Loco-ManipulationViability: 7.0
- Higher ViabilityConflict Mitigation in Shared Environments using Flow-Aware Multi-Agent Path FindingViability: 7.0
- Higher ViabilityMulti UAVs Preflight Planning in a Shared and Dynamic AirspaceViability: 9.0
- Higher ViabilityRobust Spatiotemporal Motion Planning for Multi-Agent Autonomous Racing via Topological Gap Identification and Accelerated MPC
Related Resources
- assistive robotics(glossary)
- How does Multi-Graph Search improve robotics?(question)
- What is the impact of AI on robotics?(question)
- Why is quick iteration important in robotics?(question)
- Robotics – Use Cases(use_case)
- Robotics and Automation – Use Cases(use_case)