Convex SOCP planning via flatness and B-splines plus always-feasible CBF QP tracking for continuous-time safe quadcopter flight, validated on Crazyflie hardware.
Control barrier function based quadratic programs for safety critical systems
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
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UNVERDICTED 3representative citing papers
Proposes CPTO framework combining discrete-time barrier functions and consensus ADMM to achieve safe and consistent real-time trajectory planning for AVs in partially observed dense environments.
A Lyapunov-based gain-updating law preserves initial tree connectivity in delay-free swarms and is robustified against time-varying delays while establishing input-to-state stability.
citing papers explorer
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Flatness-based Quadcopter Trajectory Planning and Tracking with Continuous-time Safety Guarantees
Convex SOCP planning via flatness and B-splines plus always-feasible CBF QP tracking for continuous-time safe quadcopter flight, validated on Crazyflie hardware.
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Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization
Proposes CPTO framework combining discrete-time barrier functions and consensus ADMM to achieve safe and consistent real-time trajectory planning for AVs in partially observed dense environments.
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Connectivity-Preserving Swarm Teleoperation Over A Tree Network With Time-Varying Delays
A Lyapunov-based gain-updating law preserves initial tree connectivity in delay-free swarms and is robustified against time-varying delays while establishing input-to-state stability.