A 1D event-based visual servoing method for ground robots using spatial kernels on DVS events to analytically isolate kinematic states and synthesize direct nonlinear feedback via a bio-inspired limit-cycle controller.
Sebvs: Synthetic event-based visual servoing for robot navigation and manipulation
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Event-VLA integrates event streams into VLA models through action-conditioned gated cross-attention to maintain performance in normal light while improving success rates under low-light and near-dark conditions.
citing papers explorer
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Bio-Inspired Event-Based Visual Servoing for Ground Robots
A 1D event-based visual servoing method for ground robots using spatial kernels on DVS events to analytically isolate kinematic states and synthesize direct nonlinear feedback via a bio-inspired limit-cycle controller.
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Event-VLA: Action-Conditioned Event Fusion for Robust Vision-Language-Action Model
Event-VLA integrates event streams into VLA models through action-conditioned gated cross-attention to maintain performance in normal light while improving success rates under low-light and near-dark conditions.