Anton Pollak

MSc Robotics, Systems and Control student at ETH Zurich

https://github.com/acpoll

Current projects

Perception and Learning for Robotics class: Project on Reinforcement Learning for ANYmal

• Class of Spring 2025 at the Robotic Systems Lab at ETH

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Autonomous River Cleanup (ARC): Robotics Engineer Volunteer

• Student project at the Robotic Systems Lab ETH (website)
• Working on the Mobile Autonomous Recycling Container (MARC) with ROS Noetic (robot planning, computer vision, state machine)

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Previous projects

Stereofog: Image-to-image machine translation enables computational defogging in real-world images

• Research internship in at the University of Utah, USA
• Scholarship by the German Academic Exchange Service (DAAD)
• Paper published in Optics Express: DOI
• Further info on Github page: GitHub
• Internal lab presentation: YouTube

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Bachelor thesis: Optimized Operation Management With Predicted Filling Levels of the Litter Bins for a Fleet of Autonomous Urban Service Robots

• Within MARBLE (Mobile Autonomous RoBot for Litter Bin Emptying) project at TU Berlin
• Paper published in IEEE Access: DOI

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Robotics Systems class: Chess-playing Robotic Arm

• During exchange semester at the University of Melbourne, Australia
• Construction of a robotic arm to manipulate pieces on a chess board & implementation from scratch in Matlab
• Link to final demo video: YouTube

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Real-World Robotics class: Construction of a Robotic Hand and Application of Imitation Learning

• Class of Fall 2024 at the Soft Robotics Lab at ETH

• 3 main tasks:

  • Hardware design of a robotic hand based on a design provided by the lab
  • Execution of teleoperation tasks with the hand mounted on a Franka Emika robotic arm
  • Application of Imitation Learning for autonomous cube sorting

• Low-cost high-sensitivity sensing using FSR sensors

• Imitation learning using Action Chunking Transformer (ACT) ¹

• Code & video material cannot be shared yet due to unpublished research

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Vision Algorithms for Mobile Robotics class: Visual Odometry Pipeline Project

• Class of Fall 2024 at the Robotics and Perception Group (RPG) at University of Zurich
• Group bonus project: Design of a visual odometry pipeline (GitHub, Final demo video: YouTube)
• Techniques used: Shi-Tomasi algorithm, SIFT, Kanade-Lucas- Tomasi (KLT) algorithm, RANSAC ²

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Footnotes

1. Action Chunking Transformer paper ↩

2. Image attribution: KITTI dataset ↩