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Damage Risk Quantification for Robot Collisions

This repository contains a dataset of 60 real images and 100 synthetic images, designed to support research in vision-based damage risk estimation. The images are displayed below.

Real Images

Cleaning sponge

Cleaning sponge 1 Cleaning sponge 2 Cleaning sponge 3 Cleaning sponge 4 Cleaning sponge 5

Plush toy

Plush toy 1 Plush toy 2 Plush toy 3 Plush toy 4 Plush toy 5

Flower bouquet

Flower bouquet 1 Flower bouquet 2 Flower bouquet 3 Flower bouquet 4 Flower bouquet 5

Paper cup

Paper cup 1 Paper cup 2 Paper cup 3 Paper cup 4 Paper cup 5

Orange

Orange 1 Orange 2 Orange 3 Orange 4 Orange 5

Plastic bottle

Plastic bottle 1 Plastic bottle 2 Plastic bottle 3 Plastic bottle 4 Plastic bottle 5

Potted plant

Potted plant 1 Potted plant 2 Potted plant 3 Potted plant 4 Potted plant 5

Screwdriver

Screwdriver 1 Screwdriver 2 Screwdriver 3 Screwdriver 4 Screwdriver 5

Scissors

Scissors 1 Scissors 2 Scissors 3 Scissors 4 Scissors 5

Metal scraper

Metal scraper 1 Metal scraper 2 Metal scraper 3 Metal scraper 4 Plush toy 5

Scalpel

Scalpel 1 Scalpel 2 Scalpel 3 Scalpel 4 Scalpel 5

Box cutter

Box cutter 1 Box cutter 2 Box cutter 3 Box cutter 4 Box cutter 5

Synthetic Images

Soft Objects

Soft object 1 Soft object 2 Soft object 3 Soft object 4 Soft object 5
Soft object 6 Soft object 7 Soft object 8 Soft object 9 Soft object 10
Soft object 11 Soft object 12 Soft object 13 Soft object 14 Soft object 15
Soft object 16 Soft object 17 Soft object 18 Soft object 19 Soft object 20
Soft object 21 Soft object 22 Soft object 23 Soft object 24 Soft object 25
Soft object 26 Soft object 27 Soft object 28 Soft object 29 Soft object 30

Mushrooms

Mushroom 1 Mushroom 2 Mushroom 3 Mushroom 4 Mushroom 5

Plants & Flowers

Plant 1 Plant 2 Plant 3 Plant 4 Plant 5
Plant 6 Plant 7 Plant 8 Plant 9 Plant 10

Water

Water 1 Water 2 Water 3 Water 4 Water 5

Dust

Dust 1 Dust 2 Dust 3 Dust 4 Dust 5

Animals

Animal 1 Animal 2 Animal 3 Animal 4 Animal 5
Animal 6 Animal 7 Animal 8 Animal 9 Animal 10
Animal 11 Animal 12 Animal 13 Animal 14 Animal 15
Animal 16 Animal 17 Animal 18 Animal 19 Animal 20
Animal 21 Animal 22 Animal 23 Animal 24 Animal 25

Bulky Objects

Bulky object 1 Bulky object 2 Bulky object 3 Bulky object 4 Bulky object 5
Bulky object 6 Bulky object 7 Bulky object 8 Bulky object 9 Bulky object 10

Sharp Objects

Sharp object 1 Sharp object 2 Sharp object 3 Sharp object 4 Sharp object 5
Sharp object 6 Sharp object 7 Sharp object 8 Sharp object 9 Sharp object 10

Publication

Further details can be found in the following publication:

  title={Damage Risk Quantification for Robot Collisions Using Vision-Language Models}, 
  author = {Jonas Kiemel and Erhan \"Oztop and Tamim Asfour},
  publisher = {German Robotics Conference (GRC)},
  year = {2026}

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Damage Risk Quantification for Robot Collisions

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