“People who are really serious about software should make their own hardware.” - Alan Kay

I am a graduate student at ETH Zurich, advised by Marco Hutter. My research is focused on high-level reasoning and planning for mobile manipulation. I also closely collaborate with Animesh Garg at the University of Toronto.

Over the past few years, I have had the opportunity to work on various robotic systems with some amazing groups. Most of my time during my undergraduate studies was spent developing autonomous underwater vehicles and co-founding the institute’s student team. During the summer of 2017, I worked with Abhinav Valada and Wolfram Burgard at the University of Freiburg, Germany on building autonomous aerial systems for urban search and rescue. My internship at NNAISENSE involved safe-grasping of objects using manipulators.

If you have any questions or would like to collaborate, feel free to reach out through email!


May 18, 2020 Excited to start my master thesis with Animesh Garg at PAIR Lab, University of Toronto!
Jan 22, 2020 Our paper on ‘Learning Camera Miscalibration Detection’ from my work at Autonomous Systems Lab, ETH Zurich is accepted to ICRA 2020
Sep 1, 2019 Started my internship with the Intelligent Automation team at NNAISENSE, Lugano!
Aug 2, 2019 Our paper on ‘Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue’ from my internship at Autonomous Intelligent Systems, University of Freiburg is accepted to ISRR 2019
Jul 27, 2019 I will be interning with the Intelligence Control team at NNAISENSE in Lugano, Switzerland from Septmember onwards!

research interests

I am primarily interested in decision-making and control for the operation of robots in human environments. These days, my efforts are focused on designing perception-based systems for contact-rich manipulation tasks, such as articulated object interaction and in-hand manipulation. Other areas of interest include hierarchical reinforcement learning, optimal control, and 3D vision.


  1. Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, and Animesh Garg (Under Review) [Abs] [arXiv] [Website]
  1. Neural Lyapunov Model Predictive Control Mayank Mittal, Marco Gallieri, Alessio Quaglino, Seyed Sina Mirrazavi Salehian, and Jan Koutnik (Under Review) [Abs] [arXiv]
  2. Learning Camera Miscalibration Detection Andrei Cramariuc, Aleksandar Petrov, Rohit Suri, Mayank Mittal, Roland Siegwart, and Cesar Cadena ICRA 2020 [Abs] [arXiv] [Code]
  1. Vision-based Autonomous UAV Navigation and Landing for Urban Search and Rescue Mayank Mittal, Rohit Mohan, Wolfram Burgard, and Abhinav Valada ISRR 2019 [Abs] [arXiv] [Website]
  1. Vision-based Autonomous Landing in Catastrophe-Struck Environments Mayank Mittal, Abhinav Valada, and Wolfram Burgard Workshop on Vision-based Drones: What’s Next?
    IROS 2018
    [Abs] [arXiv] [Video] [PDF]