activity
20172023
most citedWeakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data

107 citations · 529 across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

cs.RO2019★ 2 cited

Estimation and Exploitation of Objects' Inertial Parameters in Robotic Grasping and Manipulation: A Survey

Nikos Mavrakis, Rustam Stolkin

Inertial parameters characterise an object's motion under applied forces, and can provide strong priors for planning and control of robotic actions to manipulate the object. Howeve…

cs.RO2019★ 52 cited

Mixed-Initiative variable autonomy for remotely operated mobile robots

Manolis Chiou, Nick Hawes, Rustam Stolkin

This paper presents an Expert-guided Mixed-Initiative Control Switcher (EMICS) for remotely operated mobile robots. The EMICS enables switching between different levels of autonomy…

cs.RO2019★ 31 cited

Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces

T. Pardi, V. Ortenzi, C. Fairbairn +3

This paper presents a method for constrained motion planning from vision, which enables a robot to move its end-effector over an observed surface, given start and destination point…

cs.RO2019★ 2 cited

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

Brice Denoun, Beatriz Leon, Claudio Zito +3

In this work, we present a geometry-based grasping algorithm that is capable of efficiently generating both top and side grasps for unknown objects, using a single view RGB-D camer…

cs.RO2019★ 3 cited

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

Claudio Zito, Tomasz Deregowski, Rustam Stolkin

Designing robotic assistance devices for manipulation tasks is challenging. This work is concerned with improving accuracy and usability of semi-autonomous robots, such as human op…

cs.RO2019★ 6 cited

Automatic Detection of Myocontrol Failures Based upon Situational Context Information

Karoline Heiwolt, Claudio Zito, Markus Nowak +2

Myoelectric control systems for assistive devices are still unreliable. The user's input signals can become unstable over time due to e.g. fatigue, electrode displacement, or sweat…

cs.RO2019★ 4 cited

Metrics and Benchmarks for Remote Shared Controllers in Industrial Applications

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

Remote manipulation is emerging as one of the key robotics tasks needed in extreme environments. Several researchers have investigated how to add AI components into shared controll…

cs.RO2019★ 89 cited

Let's Push Things Forward: A Survey on Robot Pushing

Jochen Stüber, Claudio Zito, Rustam Stolkin

As robot make their way out of factories into human environments, outer space, and beyond, they require the skill to manipulate their environment in multifarious, unforeseeable cir…

cs.RO2019★ 13 cited

Hypothesis-based Belief Planning for Dexterous Grasping

Claudio Zito, Valerio Ortenzi, Maxime Adjigble +3

Belief space planning is a viable alternative to formalise partially observable control problems and, in the recent years, its application to robot manipulation problems has grown.…