NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (14)

cs.RO2017

Single-Shot Clothing Category Recognition in Free-Configurations with Application to Autonomous Clothes Sorting

Li Sun, Gerardo Aragon-Camarasa, Simon Rogers +2

cs.RO2019

Robust and fast generation of top and side grasps for unknown objects

Brice Denoun, Beatriz Leon, Claudio Zito +3

cs.RO2019

2D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectories in Novel Scenes

Claudio Zito, Tomasz Deregowski, Rustam Stolkin

cs.RO2017

Safe Robotic Grasping: Minimum Impact-Force Grasp Selection

Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin

cs.RO2019

Metrics and Benchmarks for Remote Shared Controllers in Industrial Applications

Claudio Zito, Maxime Adjigble, Brice D. Denoun +3

cs.CV2017

A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition

Cheng Zhao, Li Sun, Rustam Stolkin

cs.CV2017

Dense RGB-D semantic mapping with Pixel-Voxel neural network

Cheng Zhao, Li Sun, Pulak Purkait +1

cs.CV2018

Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks

Jose Carlos Villarreal Guerra, Zeba Khanam, Shoaib Ehsan +2

cs.RO2017

Human-in-the-loop optimisation: mixed initiative grasping for optimally facilitating post-grasp manipulative actions

Amir M. Ghalamzan Esfahani, Firas Abi-Farraj, Paolo Robuffo Giordano +1

cs.CV2018

Sensors, SLAM and Long-term Autonomy: A Review

Mubariz Zaffar, Shoaib Ehsan, Rustam Stolkin +1

cs.RO2019

Hypothesis-based Belief Planning for Dexterous Grasping

Claudio Zito, Valerio Ortenzi, Maxime Adjigble +3

cs.RO2017

Grasp that optimises objectives along post-grasp trajectories

Amir M Ghalamzan E, Nikos Mavrakis, Rustam Stolkin

cs.RO2019

Automatic Detection of Myocontrol Failures Based upon Situational Context Information

Karoline Heiwolt, Claudio Zito, Markus Nowak +2

cs.RO2018

Learning monocular visual odometry with dense 3D mapping from dense 3D flow

Cheng Zhao, Li Sun, Pulak Purkait +2