5 accepted papers
Operating Unmanned Aerial Vehicles (UAVs) remains challenging for non-experts because single-modality interfaces distort intent: gesture-only systems depend on discrete vocabularies and mode switches that break continuity and raise cognitive load, while gaze-only control offers limited dimensionalit…
Flapping-wing robots exhibit numerous advantages in flight performance, which mimic the natural flight of birds or insects. However, autonomous takeoff remains a significant challenge for large-sized bird-like flapping-wing robots. To address this challenge, we design a jumping mechanism based on a
In the absence of a pre-built indoor map, robot navigation suffers from the limitations of sensors and environments, resulting in decreased efficiency in performing ad-hoc tasks. Given that blueprints are difficult to obtain, an intuitive method is to provide robots with prior knowledge via hand-dra…
Model-Agnostic Meta-Learning (MAML) and its variants have shown remarkable performance in scenarios characterized by a scarcity of labeled data during the training phase of machine learning models. Despite these successes, MAMLbased approaches encounter significant challenges when there is a substan…
For multi-agent area coverage path planning problem, existing researches regard it as a combination of Traveling Salesman Problem (TSP) and Coverage Path Planning (CPP). However, these approaches have disadvantages of poor observation ability in online phase and high computational cost in offline ph…