71 citations · 193 across the 50 of their papers we have counts for
5 papers · 1 filter
EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover
Ghadah Alosaimi, Maha Alsayyari, Yixin Sun +3
Brain-computer interfaces (BCIs) provide a hands-free control modality for mobile robotics, yet decoding user intent during real-world navigation remains challenging. This work pre…
TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions
Yixin Sun, Li Li, Wenke E +2
Detecting traversable pathways in unstructured outdoor environments remains a significant challenge for autonomous robots, especially in critical applications such as wide-area sea…
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
William Prew, Toby Breckon, Magnus Bordewich +1
In this paper, we introduce two methods of improving real-time object grasping performance from monocular colour images in an end-to-end CNN architecture. The first is the addition…
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
Bruna G. Maciel-Pearson, Samet Akcay, Amir Atapour-Abarghouei +2
Increased growth in the global Unmanned Aerial Vehicles (UAV) (drone) industry has expanded possibilities for fully autonomous UAV applications. A particular application which has…
Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation
Nik Khadijah Nik Aznan, Jason D. Connolly, Noura Al Moubayed +1
This paper addresses the challenge of humanoid robot teleoperation in a natural indoor environment via a Brain-Computer Interface (BCI). We leverage deep Convolutional Neural Netwo…