ANYmal, quadrupedal robot, Robotic Systems Lab, Institute of Robotics and Intelligent Systems, Zurich, Switzerland


Legged robot ANYmal climbing stairs in Zurich

Published on Jan 17, 2018

Fully autonomous climbing of stairs in Zurich on a rainy day.

This work has been published as:

Fankhauser, P., Bjelonic, M., Takahiro, M., Baumann, T., Bellicoso, C. D., Gehring, C., and Hutter, M. (2018). “Robust Rough-Terrain Locomotion with a Quadrupedal Robot”. In: IEEE International Conference on Robotics and Automation (ICRA).

This work has been conducted as part of ANYmal Research, a community to advance legged robotics.
 

Roller skating robot ANYmal

Published on Feb 23, 2018

ANYmal is able to skate, but the robot still needs to learn how to brake...

The four legged robot ANYmal is equipped with one wheel per leg. The robot performs skating motions by pushing with the hind legs. Moreover, the pushing motion creates a force that accelerates the whole robot.

Video: Marko Bjelonic
 

Planning and control of skating motions for quadrupedal robots

Published on Mar 1, 2018

This work has been conducted as part of ANYmal Research, a community to advance legged robotics.
 

Robot ANYmal dancing to live music

Published on Mar 7, 2018

ANYmal carries an onboard microphone with which music can be perceived. The beat of the music is analyzed and a suitable sequence of dance motions is choreographed. The desired and real motion trajectories are compared such that the delay between music and motion can be minimized.
 

ANYmal – Let robots go anywhere

Published on May 2, 2018

ANYmal is developed and built by ANYbotics in Switzerland:

ANYmal moves and operates autonomously in challenging terrain and interacts safely with the environment. As a multi-purpose robot platform, it is applicable on industrial indoor or outdoor sites for inspection and manipulation tasks, in natural terrain or debris areas for search and rescue tasks, or on stage for animation and entertainment. Its four legs allow the robot to crawl, walk, run, dance, jump, climb, carry — whatever the task requires.

ANYbotics AG was founded in 2016 as a spin-off company from ETH Zurich. The company provides solutions for a new level of mobility and interaction capabilities for robots to step out of the factory floors.
 

World’s first autonomous offshore robot – ANYmal

Published on Oct 25, 2018

A crucial task for energy providers is the reliable and safe operation of their plants, especially when producing energy offshore. Autonomous mobile robots are able to offer comprehensive support through regular and automated inspection of machinery and infrastructure. In a world’s first pilot installation, transmission system operator TenneT tested the autonomous legged robot ANYmal on one of Europe’s largest offshore converter platforms in the North Sea.

In a one week pilot installation, ANYmal autonomously performed various inspection tasks. After being taken on a guided tour of the platform to 3D-map the environment and learn the position and characteristics of all inspection points, ANYmal autonomously navigated the platform and processed inspection protocols. This video documents a fully autonomous mission, covering a total of 16 inspection points such as gauges, levers, oil- and water levels and various other visual and thermal measurements.
 

ANYmal for search and rescue missions

Published on Nov 17, 2018

ANYmal, a quadrupedal robot developed by RSL (ETH Zurich) and ANYbotics, is deployed in real-world environments for search and rescue missions.

Credits:
Marco Tranzatto, Marko Bjelonic, Dario Bellicoso, Lorenz Wellhausen, Kai Holtmann, Marco Hutter
 

Dynamic locomotion in real-world environments

Published on Dec 6, 2018

ANYmal, a quadrupedal robot developed by RSL (ETH Zurich) and ANYbotics, is deployed in real-world environments showing its locomotion capabilities in different type of rough terrains.

Credits:
Fabian Jenelten, Marco Tranzatto, Fabian Tresoldi, Lorenz Wellhausen, Marco Hutter
 

ANYmal shows its skills on TV

Published on Dec 12, 2018

ANYmal was featured on German news program RTL Aktuell. With 3 million average viewers, it is one of the most watched news programs on German language TV.
ANYmal shows its locomotion and perception skills, interacts with the public, and demonstrates real-world applications.

Interview: Lorenz Wellhausen and Marko Bjelonic

Source:
RTL aktuell, 6.12.2018
RTL Nachtjournal , 6.12.2018
 

Inspector ANYmal - High tech deep beneath Zurich

Published on Dec 19, 2018

ANYmal, a robot developed at ETH, can see and hear, and even open doors. An international research team is now working to ensure the robot can function in extreme conditions – a mission that takes them to the labyrinth of drains and tunnels below Zurich.
 

Last-Meter Robotic Package Delivery with ANYmal (CES 2019, ANYbotics & Continental)

Published on Jan 30, 2019

For CES 2019 (Las Vegas, NV), ANYbotics partnered with Continental to demonstrate robotic last-meter package delivery by combining a self-driving vehicle with the legged robot ANYmal.

Fully autonomously, ANYmal approaches the delivery point while capable of carrying goods up to 10 kg. Lidar and cameras allow the system to perceive the environment and climb over challenging terrain such as curbs, stairs, and other obstacles on the ground. Enabled by ANYmal's fully rotatable legs, the robot rings the doorbell with its foot and drops the package in front of the door, before returning to the self-driving shuttle to pick up the next parcel.
 

Switzerland – Land of Innovations (ANYbotics cut)

Published on Feb 6, 2019

The legged robot #ANYmal was part of a video showcasing Swiss innovations. The clip premiered at #CES2019 in Las Vegas as part of the #SwissPavilion.
 

Support surface estimation for legged robots

Published on Mar 8, 2019

Legged robots need to have knowledge about the terrain shape to select optimal footholds. When walking through vegetation, the view of the ground is obstructed and cannot be perceived with depth sensors.
We present a method which uses information on foot contact positions to infer the terrain shape.

Please find more info on this work in our paper, published and presented at IEEE International Conference on Robotics and Automation (ICRA) 2019 in Montreal, Canada
 
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