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· IEEE International Joint Con...· 0 citations
The developed system integrates perception and locomotion control to generate smooth and stable motion commands that allow the robot to maintain a safe and consistent distance from the human target, making it suitable for applications such as personal assistance, inspection, and collaborative robotics.
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
