Jens Lundell

Postdoctoral researcher in Robotics @ KTH. PhD in Robotics from Aalto University.

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I am Jens Lundell, a Postdoctoral researcher working with Danica Kragic in the Robotics, Perception and Learning Lab (RPL) at KTH in Stockholm, Sweden. My research interests is data-driven methods for robotic manipulation and grasping. I am currently working on in-hand manipulation of rigid objects, also known as intrinsic dexterity, deformable object manipulation, and constrained robotic grasping.

I did my Ph.D. in the Intelligent Robotics group at Aalto University (Finland) with Prof. Ville Kyrki and Ph.D. Francesco Verdoja. My Ph.D. thesis addressed the problem of probabilistic 6-degree-of-freedom multi-finger grasping of objects in clutter. My solution to those problems was to explicitly shape-complete each object in the scene using deep learning, and plan grasps on those reconstructions. I also focused on using physics simulators to gather synthetic data for training deep networks.

I hold a Master’s degree in Space Science and Technology and a Bachelor’s degree in Automation and Systems Technology, both from Aalto University.

My main research interests:

  • Robotic Grasping
  • Robotic Manipulation
  • Deep Learning

selected publications

2023

  1. Constrained Generative Sampling of 6-DoF Grasps
    Jens Lundell, Francesco Verdoja, Tran Nguyen Le, and 3 more authors
    arXiv preprint arXiv:2302.10745, 2023

2021

  1. DDGC: Generative deep dexterous grasping in clutter
    Jens Lundell, Francesco Verdoja, and Ville Kyrki
    IEEE Robotics and Automation Letters, 2021

2019

  1. Robust grasp planning over uncertain shape completions
    Jens Lundell, Francesco Verdoja, and Ville Kyrki
    In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019