114 citations · 156 across the 8 of their papers we have counts for
8 papers
A multi-modal approach to continuous material identification through tactile sensing
Augusto Gómez Eguíluz, Ignacio Rañó, Sonya A. Coleman +1
Tactile sensing has recently been used in robotics for object identification, grasping, and material recognition. Most material recognition approaches use vibration information fro…
Accurate and Robust Object-oriented SLAM with 3D Quadric Landmark Construction in Outdoor Environment
Rui Tian, Yunzhou Zhang, Yonghui Feng +4
Object-oriented SLAM is a popular technology in autonomous driving and robotics. In this paper, we propose a stereo visual SLAM with a robust quadric landmark representation method…
Rough Set Microbiome Characterisation
Benjamin Wingfield, Sonya Coleman, T. M. McGinnity +1
Microbiota profiles measure the structure of microbial communities in a defined environment (known as microbiomes). In the past decade, microbiome research has focused on health ap…
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry
Rui Tian, Yunzhou Zhang, Delong Zhu +3
Scale ambiguity is a fundamental problem in monocular visual odometry. Typical solutions include loop closure detection and environment information mining. For applications like se…
Object SLAM-Based Active Mapping and Robotic Grasping
Yanmin Wu, Yunzhou Zhang, Delong Zhu +5
This paper presents the first active object mapping framework for complex robotic manipulation and autonomous perception tasks. The framework is built on an object SLAM system inte…
Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition
Delei Kong, Zheng Fang, Haojia Li +3
Traditional visual place recognition (VPR) methods generally use frame-based cameras, which is easy to fail due to dramatic illumination changes or fast motions. In this paper, we…
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Yanmin Wu, Yunzhou Zhang, Delong Zhu +3
Object-level data association and pose estimation play a fundamental role in semantic SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this work, w…
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Diederik Paul Moeys, Daniel Neil, Federico Corradi +7
Machine vision systems using convolutional neural networks (CNNs) for robotic applications are increasingly being developed. Conventional vision CNNs are driven by camera frames at…