most citedLearning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation

10 citations · 11 across the 3 of their papers we have counts for

collaborators

7 papers

cs.RO2020

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…

cs.RO2019

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…

cs.RO2019

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…

cs.RO2019

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…

cs.RO2019

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…

cs.RO201910 cited

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…