Zürich, Switzerland
ETH Zürich
Europe's strongest legged-robotics lineage, plus a serious push on trustworthy and open models.
Key findings
- 2015
Visual-inertial odometry that works outdoors
ETH Autonomous Systems Lab
Tightly coupled camera-plus-IMU state estimation robust enough for GPS-denied flight.
Why it matters here · The navigation core in most commercial drone autonomy stacks.
- 2019
Learning agile and dynamic locomotion
Hwangbo, Hutter et al.
Trained locomotion policies in simulation with a learned actuator model and transferred them to hardware without tuning.
Why it matters here · Sim-to-real with actuator modelling is now the standard recipe for quadrupeds and humanoids across the robotics segment.
- 2019
Learning agile locomotion in simulation
Hutter, Hwangbo et al., Robotic Systems Lab
Trained ANYmal's controller entirely in simulation with actuator-network modelling and transferred it to hardware.
Why it matters here · Sim-to-real RL is now the default legged-robot recipe, including for the humanoid companies we track.
- 2022
Perceptive locomotion in the wild
Miki, Hutter et al.
Fused proprioception with terrain perception so a robot degrades gracefully when vision fails.
Why it matters here · The robustness bar industrial inspection robots are sold against.
On the history timeline
Milestones on the 1943 → today timeline credited to this institution.
- 1993Quantum complexity theory and BQPEthan Bernstein & Umesh VaziraniConnectionist revival
What to follow
How to cite this page
Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/academia/eth
Tomorrow. (2026). ETH Zürich — key findings and research feeds [Research tracker entry]. AlienSquad. Retrieved 2026-09-17, from https://tomorrow.aliensquad.ai/academia/eth
@misc{tomorrow-academia-eth,
author = {{Tomorrow}},
title = {ETH Zürich — key findings and research feeds},
year = {2026},
publisher = {AlienSquad},
howpublished = {\url{https://tomorrow.aliensquad.ai/academia/eth}},
note = {Accessed: 2026-09-17}
}