10 citations · 12 across the 4 of their papers we have counts for
8 papers
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation
Elena Govi, Davide Sapienza, Carmelo Scribano +5
In recent years, there has been a growing trend of using data-driven methods in industrial settings. These kinds of methods often process video images or parts, therefore the integ…
Self-Assessment of Grasp Affordance Transfer
Paola Ardón, Èric Pairet, Ronald P. A. Petrick +2
Reasoning about object grasp affordances allows an autonomous agent to estimate the most suitable grasp to execute a task. While current approaches for estimating grasp affordances…
Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors
Èric Pairet, Paola Ardón, Michael Mistry +1
Unforeseen events are frequent in the real-world environments where robots are expected to assist, raising the need for fast replanning of the policy in execution to guarantee the…
Learning Grasp Affordance Reasoning through Semantic Relations
Paola Ardón, Èric Pairet, Ronald P. A. Petrick +2
Reasoning about object affordances allows an autonomous agent to perform generalised manipulation tasks among object instances. While current approaches to grasp affordance estimat…
Reasoning on Grasp-Action Affordances
Paola Ardón, Èric Pairet, Ron Petrick +2
Artificial intelligence is essential to succeed in challenging activities that involve dynamic environments, such as object manipulation tasks in indoor scenes. Most of the state-o…
Learning and Composing Primitive Skills for Dual-arm Manipulation
Èric Pairet, Paola Ardón, Michael Mistry +1
In an attempt to confer robots with complex manipulation capabilities, dual-arm anthropomorphic systems have become an important research topic in the robotics community. Most appr…
Learning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation
Èric Pairet, Paola Ardón, Frank Broz +2
Robots are becoming a vital ingredient in society. Some of their daily tasks require dual-arm manipulation skills in the rapidly changing, dynamic and unpredictable real-world envi…
A Hybrid SLAM and Object Recognition System for Pepper Robot
Paola Ardón, Kaisar Kushibar, Songyou Peng
Humanoid robots are playing increasingly important roles in real-life tasks especially when it comes to indoor applications. Providing robust solutions for the tasks such as indoor…