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Juan Del Aguila Ferrandis

4 accepted papers

2025

Learning Goal-Directed Object Pushing in Cluttered Scenes With Location-Based Attention

IROS 2025

In complex scenarios where typical pick-and-place techniques are insufficient, often non-prehensile manipulation can ensure that a robot is able to fulfill its task. However, non-prehensile manipulation is challenging due to its underactuated nature with hybrid-dynamics, where a robot needs to reaso

Cited by 7SourceScholar
2025

Poke and Strike: Learning Task-Informed Exploration Policies

CoRL 2025poster

In many dynamic robotic tasks, such as striking pucks into a goal outside the reachable workspace, the robot must first identify the relevant physical properties of the object for successful task execution, as it is unable to recover from failure or retry without human intervention. To address this…

Cited by 0SourceScholar
2024

Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions

CoRL 2024poster

Manipulation without grasping, known as non-prehensile manipulation, is essential for dexterous robots in contact-rich environments, but presents many challenges relating with underactuation, hybrid-dynamics, and frictional uncertainty. Additionally, object occlusions in a scenario of contact uncert…

Cited by 4SourceScholar
2023

Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration

IROS 2023poster

Developing robot controllers capable of achieving dexterous nonprehensile manipulation, such as pushing an object on a table, is challenging. The underactuated and hybrid-dynamics nature of the problem, further complicated by the uncertainty resulting from the frictional interactions, requires sophi…

Cited by 17SourceScholar