8 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…
In this paper, a novel benchmark for audio-visual question answering continual learning (AVQACL) is introduced, aiming to study fine-grained scene understanding and spatial-temporal reasoning in videos under a continual learning setting. To facilitate this multimodal continual leaning task, we creat…
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 human communication, referring to a specific object within an environment often involves the combination of a pointing gesture to indicate the object’s direction and linguistic descriptions specifying its name and attributes, thereby enabling precise object identification. Inspired by this natura
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…
Recognizing the human emotion automatically from visual characteristics plays a vital role in many intelligent applications. Recently, gait-based emotion recognition, especially gait skeletons-based characteristic, has attracted much attention, while many available methods have been proposed gradual…