Jens Lundell

Assistant Professor in Robotics @ University of Turku. PhD in Robotics from Aalto University.

profile_pic.jpg

👋 Hello, I’m Jens Lundell

I’m an Assistant Professor in Robotics at the University of Turku, Finland.

My research focuses on enabling robots to grasp and manipulate objects in uncertain and cluttered environments. I combine deep learning, probabilistic reasoning, and tactile perception to build robust manipulation systems.

🕰️ Bio

Previously, I worked as a Postdoctoral researcher with Danica Kragic in the Robotics, Perception and Learning Lab (RPL) at KTH in Stockholm, Sweden.

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.

🔬 Research Interests

  • Probabilistic grasp synthesis in cluttered scenes
  • Generative models for robotic manipulation
  • Cloth and deformable object state estimation
  • Visuo-haptic shape completion
  • Planning under uncertainty

📢 Opportunities

I am always open to collaborating with PhD students or supervising Master’s thesis projects in areas such as:

  • 6-DoF grasp generation
  • Manipulation of cluttered or deformable objects
  • Visuo-haptic perception

If you are interested, please contact me with:

  • A short background
  • CV and transcript
  • Your research interests
  • Links to code or papers (if available)

đź“– Selected Publications

  1. SeqGrasp.png
    Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
    Haofei Lu, Yifei Dong, Zehang Weng, and 2 more authors
    arXiv preprint arXiv:2503.22370, 2025
  2. ClothSplatting.gif
    Cloth-Splatting: 3D State Estimation from RGB Supervision for Deformable Objects
    Alberta Longhini, Marcel BĂĽsching, Bardienus Pieter Duisterhof, and 4 more authors
    In 8th Annual Conference on Robot Learning, 2024
  3. DexDiffuser.png
    Dexdiffuser: Generating dexterous grasps with diffusion models
    Zehang Weng, Haofei Lu, Danica Kragic, and 1 more author
    IEEE Robotics and Automation Letters, 2024
  4. DDGC.png
    DDGC: Generative deep dexterous grasping in clutter
    Jens Lundell, Francesco Verdoja, and Ville Kyrki
    IEEE Robotics and Automation Letters, 2021