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  3. Multi-Robot Trajectory Planning via Constrained Bayesian Opt
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Multi-Robot Trajectory Planning via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Multi-Robot Trajectory Planning via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution

PDF: https://arxiv.org/pdf/2603.05767v1

First buyer signal: unknown

Distribution channel: unknown

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Dimensions overall score 7.0

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Prior Work
Accelerated Spline-Based Time-Optimal Motion Planning with Continuous Safety Guarantees for Non-Differentially Flat Systems
Score 7.0stable
Prior Work
UMBRELLA: Uncertainty-aware Multi-robot Reactive Coordination under Dynamic Temporal Logic Tasks
Score 7.0stable
Competing Approach
Feasibility Restoration under Conflicting STL Specifications with Pareto-Optimal Refinement
Score 7.0stable
Competing Approach
VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments
Score 3.0down
Competing Approach
Provably Safe Trajectory Generation for Manipulators Under Motion and Environmental Uncertainties
Score 7.0stable
Competing Approach
Collaborative Task and Path Planning for Heterogeneous Robotic Teams using Multi-Agent PPO
Score 4.0down
Competing Approach
Sampling-based Task and Kinodynamic Motion Planning under Semantic Uncertainty
Score 2.0down
Competing Approach
Integrated Multi-Drone Task Allocation, Sequencing, and Optimal Trajectory Generation in Obstacle-Rich 3D Environments
Score 5.0down

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