25 citations · 25 across the 3 of their papers we have counts for
11 papers · 1 filter
Enabling Robot Manipulation of Soft and Rigid Objects with Vision-based Tactile Sensors
Michael C. Welle, Martina Lippi, Haofei Lu +3
Endowing robots with tactile capabilities opens up new possibilities for their interaction with the environment, including the ability to handle fragile and/or soft objects. In thi…
GoNet: An Approach-Constrained Generative Grasp Sampling Network
Zehang Weng, Haofei Lu, Jens Lundell +1
This work addresses the problem of learning approach-constrained data-driven grasp samplers. To this end, we propose GoNet: a generative grasp sampler that can constrain the grasp…
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…
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…
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…
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…