Landing IML repo pages

IML promotes open collaboration. Our concepts encourage collaboration and open internships to provide opportunities to all aligned with our quality diversity and inclusion (EDI) policy. You can request to do a virtual internship at IML if it is not feasible to come to Lincoln, UK-- See IML website for more information. . Below you can find a list of IML repositories.

IML publicly available repositories

RSS2022 (Willow Mandil, Action Conditioned Tactile Predictive Model)

• Flat dataset
• Action Conditioned Tactile Predictive Model

AAAI 2022 (Oluwatoin Sanni, Deep Movement Primitives: Towards Breast Cancer Examination Robot)

• Deep movement primitives

Projects

Tactile and Video Prediction (Willow Mandil)

• SPOTS
• SPOTS dataset

Video Prediction

• Video Prediction via PDE NN VPN

Proactive Slip control

• PSC

RL for slip control (David )

• Xela Sensor
• RL Slip

### D-MP Navigation

• D-MP navigate

Active Perception (Mattia Colombo)

• Active Perception

• Picking Scheduling data collectio

SBRI: BISENSS (Veolia, Unviersity of Lincoln, Faculti.ai and Createc)

• SBRI Phase II landing page

FASTPICK project

• fastpick franka ros

ARTEMIS Project

• ARTEMIS landing page
• Artemis deep MP
• ARTEMIS Franka ROS

Students work

David Imbajoa Ruiz (M.Sc. in Uni. of Roma -- Thesis)

• Xela Sensor
• RL for Slip avoidance
• Thesis
• Paper

Alessandra Tafuro (M.Sc. Politecnico di Milano -- Thesis)

• Strawberry Perception
• Deep ProMP
• Thesis
• Paper

Giorgio Bonvicini (M.Sc. Politecnico di Milano -- Thesis)

• Deep MP and Control
• Thesis
• Paper

Francesco Castelli (M.Sc. Politecnico di Milano -- Thesis)

• DeepProMPs: strawberry rtp with Autoencoder
• DeepProMPs: strawberry rtp with cycleGAN
• Tutorial on data collection for strawberry rtp
• Thesis

Chiara Bigi (M.Sc. Politecnico di Milano -- Thesis)

• Deep movement planning
• Strawberry Picking Scheduling
• Picking scheduling and Success prediction datasets
• Thesis

Gabriele Gandolfi (M.Sc. Politecnico di Milano -- Thesis)

• PyTorch Tutorial
• [Image-based Tactile Prediction](to be added)
• Haptic Finger
• Video and Tactile Prediction with Haptic Finger
• [Data collection for pushing tasks in 2D and 3D](to be added)
• [Thesis](to be added)

HouseKeeping

IML website

• IML website

3D printed parts/models

• 3 D printed parts/models

Camera Calibration

• Camera Calibration

Data collection

• Kinesthatic data collection with Franka arm
• Data collection for strawberry

IML logistics

• Franka ROS interface for Kinesthatic data collection FDC
• Strawberry data annotation (Riseholme strawberries data collected by Shefali, Maninder and Saira --Agri-food tech MSc students fall 2022, annotated by Agri-Robotics students). SDS
• DL basic tutorial
• Tutorial DL pytourch
• Past Theses by IML people
• Franka Data Collection Pipeline
• []

Simulations

• Pybulet simulation of the tactile dataset @Grzegorr
• Xela Sensor PyBullet simulation
• UPH Simulation
• Deep ProMP Simulation: Strawberry Picking

Datasets

• Strawberry picking point localisation ripeness and weight estimation
• Forward model: Tactile Prediction dataset
• Needle Insertion Dataset
• Slip Control Dataset
• SPOTS video-tactile prediction dataset
• Breat Phantom Palpation Dataset

Tactile sensing research

• Haptic Finger Master Repo
• Inverted Pendulum
• Curvature Sensing
• Inverted Pendulum