Search Results for author: Jens Lundell

Found 7 papers, 5 papers with code

DDGC: Generative Deep Dexterous Grasping in Clutter

no code implementations8 Mar 2021 Jens Lundell, Francesco Verdoja, Ville Kyrki

Multi-finger grasping in cluttered scenes, on the other hand, remains mostly unexplored due to the added difficulty of reasoning over obstacles which greatly increases the computational time to generate high-quality collision-free grasps.

Robotic Grasping

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

1 code implementation17 Dec 2020 Jens Lundell, Enric Corona, Tran Nguyen Le, Francesco Verdoja, Philippe Weinzaepfel, Gregory Rogez, Francesc Moreno-Noguer, Ville Kyrki

While there exists many methods for manipulating rigid objects with parallel-jaw grippers, grasping with multi-finger robotic hands remains a quite unexplored research topic.

Beyond Top-Grasps Through Scene Completion

no code implementations15 Sep 2019 Jens Lundell, Francesco Verdoja, Ville Kyrki

Current end-to-end grasp planning methods propose grasps in the order of seconds that attain high grasp success rates on a diverse set of objects, but often by constraining the workspace to top-grasps.

Grasp Generation

Robust Grasp Planning Over Uncertain Shape Completions

2 code implementations2 Mar 2019 Jens Lundell, Francesco Verdoja, Ville Kyrki

We present a method for planning robust grasps over uncertain shape completed objects.


Deep Network Uncertainty Maps for Indoor Navigation

1 code implementation13 Sep 2018 Francesco Verdoja, Jens Lundell, Ville Kyrki

Most mobile robots for indoor use rely on 2D laser scanners for localization, mapping and navigation.

Autonomous Navigation

Hallucinating robots: Inferring Obstacle Distances from Partial Laser Measurements

1 code implementation31 May 2018 Jens Lundell, Francesco Verdoja, Ville Kyrki

However, those sensors are unable to correctly provide distance to obstacles such as glass panels and tables whose actual occupancy is invisible at the height the sensor is measuring.

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