6 accepted papers
Multi-robot coordination in shared workspaces is prone to deadlocks, which can compromise operational capabilities and task efficiency. Accurately determining the timing and spatial locations of deadlocks is essential for effective resolution, yet remains challenging due to dynamic robot interaction…
Given that simulation can never exhaustively enumerate reality, generalization is the determining factor for whether Vision-Language-Action (VLA) models can translate benchmark success into real-world functionality. However, current evaluation protocols often incentivize mechanical memorization rath…
Manta ray-inspired robots exhibit broad application prospects. In nature, different manta rays possess different stiffness of pectoral fins to survive in specific environment. Some rays present stiffer fins that enable an oscillation, achieving large propulsion to adapt to a pelagic lifestyle. While
Existing imitation learning methods decouple perception and action, which overlooks the causal reciprocity between sensory representations and action execution that humans naturally leverage for adaptive behaviors. To bridge this gap, we introduce Action-Guided Diffusion Policy (DP-AG), a unified re…
Biological manta rays alter the projected area of their pectoral fins during flapping, achieve different flapping strokes to adjust dynamic generation, such as holding, rising, sinking and rolling strokes. Manta ray-inspired robots possess high motion efficiency and stability, exhibiting broad prosp
The versatile locomotion capabilities of aquatic-aerial robots significantly extend their operational range, opening up a wide array of potential applications. The compatibility of water and air is crucial in the design of aquatic-aerial robots, requiring their wings to possess the ability to deform