activity
20182022
most citedActive Visuo-Haptic Object Shape Completion

25 citations · 25 across the 3 of their papers we have counts for

collaborators

10 papers

cs.RO202225 cited

Active Visuo-Haptic Object Shape Completion

Lukas Rustler, Jens Lundell, Jan Kristof Behrens +2

Recent advancements in object shape completion have enabled impressive object reconstructions using only visual input. However, due to self-occlusion, the reconstructions have high…

cs.RO2021

Towards synthesizing grasps for 3D deformable objects with physics-based simulation

Tran Nguyen Le, Jens Lundell, Fares J. Abu-Dakka +1

Grasping deformable objects is not well researched due to the complexity in modelling and simulating the dynamic behavior of such objects. However, with the rapid development of ph…

cs.RO2020

POMDP Manipulation Planning under Object Composition Uncertainty

Joni Pajarinen, Jens Lundell, Ville Kyrki

Manipulating unknown objects in a cluttered environment is difficult because segmentation of the scene into objects, that is, object composition is uncertain. Due to this uncertain…

cs.CV2019

Beyond Top-Grasps Through Scene Completion

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 wor…

cs.RO2019

Safe Grasping with a Force Controlled Soft Robotic Hand

Tran Nguyen Le, Jens Lundell, Ville Kyrki

Safe yet stable grasping requires a robotic hand to apply sufficient force on the object to immobilize it while keeping it from getting damaged. Soft robotic hands have been propos…

cs.RO2019

Robust Grasp Planning Over Uncertain Shape Completions

Jens Lundell, Francesco Verdoja, Ville Kyrki

We present a method for planning robust grasps over uncertain shape completed objects. For shape completion, a deep neural network is trained to take a partial view of the object a…