This work introduces online detection-driven goal re-finement, which extracts target crops from the robot’s live camera stream and progressively updates the goal representation as the robot approaches the target, reducing dependence on pre-collected goal images and improving robustness to distant or low-quality detections.
Results show that search efficiency depends on alignment between exploration design and spatial structure, not universal strategy superiority, and that search efficiency depends on alignment between exploration design and spatial structure, not universal strategy superiority.
This work proposes a user-friendly, interactive framework that eliminates the reliance on globally consistent maps and integrates visual perception with Large Language Models (LLM) to interpret user commands via text or voice.
Praveen Kumar, K. Guruprasad, Tushar Sandhan· 0 citations
This paper presents the design and implementation of a vision-based system enabling a robot to autonomously follow a human in dynamic environments. The proposed solution was developed using the quadruped walking robot Unitree Go2, which provides high mobility, terrain adaptability, and dynamic stability suitable for in...
Artur Babiarz, Krzysztof Jaskot, Maksymilian Grabowy· Applied Sciences· 0 citations
High-precision manufacturing in unstructured factories imposes stringent requirements on real-time scene perception and end-effector positioning accuracy. Traditional single-sensor solutions suffer from perception blind spots in human-robot mixed environments with complex lighting, while chassis cumulative error often...
Teng-Xiao Liu, Ming-Wei You, Zi-Yi Zhang et al.· Italian National Conference...· 0 citations
Vision-Language-Action (VLA) models have achieved impressive results in robotic manipulation and ground-mobile navigation, yet language-conditioned control of unmanned aerial vehicles (UAVs) in smart warehouses remains largely unexplored, hindered by the lack of benchmarks that jointly provide continuous low-level flig...
Thinh D. Le, Son Nguyen, Duong Q. Nguyen et al.· 0 citations
The results demonstrate that compact target-centric representations can support robust long-horizon aerial visual servoing and that visual curriculum training can improve robustness to dynamic distribution shifts despite limited gains in nominal performance.
Saurbh Singh Jamwal, Nived Chebrolu· 0 citations
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