Advances in Real-World Applications for Legged Robots. Bellicoso, C. D, Bjelonic, M., Wellhausen, L., Sako, D., Holtmann, K., Guenther, F., Tranzatto, M., Fankhauser, P., & Hutter, M. Journal of Field Robotics, 35(8):1311-1326, 2018.
Pdf
Video
Link doi abstract bibtex 2 downloads This paper provides insight into the application of the quadrupedal robot ANYmal in outdoor missions of industrial inspection (ARGOS Challenge) and search and rescue (European Robotics League (ERL) Emergency Robots). In both competitions, the legged robot had to autonomously and semi-autonomously navigate in real-world scenarios to complete high-level tasks such as inspection and payload delivery. In the ARGOS competition, ANYmal used a rotating LiDAR sensor to localize on the industrial site and map the terrain and obstacles around the robot. In the ERL competition, additional Real-Time Kinematic (RTK)-Global Positioning System (GPS) was used to co-localize the legged robot with respect to a Micro Aerial Vehicle (MAV) that creates maps from the aerial view. The high mobility of legged robots allows overcoming large obstacles, e.g. steps and stairs, with statically and dynamically stable gaits. Moreover, the versatile machine can adapt its posture for inspection and payload delivery. The paper concludes with insight into the general learnings from the ARGOS and ERL challenges.
@article{bellicoso2018advances,
author = {Bellicoso, Carmine D and
Bjelonic, Marko and
Wellhausen, Lorenz and
Sako, Dhionis and
Holtmann, Kai and
Guenther, Fabian and
Tranzatto, Marco and
Fankhauser, P{\'e}ter and
Hutter, Marco},
title = {Advances in Real-World Applications for Legged Robots},
journal = {Journal of Field Robotics},
volume = {35},
number = {8},
pages = {1311-1326},
doi = {10.1002/rob.21839},
year = {2018},
abstract = {This paper provides insight into the application of the
quadrupedal robot ANYmal in outdoor missions of industrial
inspection (ARGOS Challenge) and search and rescue (European
Robotics League (ERL) Emergency Robots). In both competitions,
the legged robot had to autonomously and semi-autonomously
navigate in real-world scenarios to complete high-level tasks
such as inspection and payload delivery. In the ARGOS
competition, ANYmal used a rotating LiDAR sensor to
localize on the industrial site and map the terrain and obstacles
around the robot. In the ERL competition, additional Real-Time
Kinematic (RTK)-Global Positioning System (GPS) was used to
co-localize the legged robot with respect to a Micro Aerial
Vehicle (MAV) that creates maps from the aerial view. The high
mobility of legged robots allows overcoming large obstacles, e.g.
steps and stairs, with statically and dynamically stable gaits.
Moreover, the versatile machine can adapt its posture for
inspection and payload delivery. The paper concludes with insight
into the general learnings from the ARGOS and ERL challenges.},
keywords = {legged robot, quadrupedal robot, localization, mapping,
challenge},
url_pdf = {files/2018_jfr_bellicoso.pdf},
url_video = {https://youtu.be/qrJlMze_xhQ},
url_link = {https://doi.org/10.1002/rob.21839}
}
Downloads: 2
{"_id":"vdL3ZXN3G6i25iejt","bibbaseid":"bellicoso-bjelonic-wellhausen-sako-holtmann-guenther-tranzatto-fankhauser-etal-advancesinrealworldapplicationsforleggedrobots-2018","downloads":3,"creationDate":"2018-10-15T11:03:56.325Z","title":"Advances in Real-World Applications for Legged Robots","author_short":["Bellicoso, C. D","Bjelonic, M.","Wellhausen, L.","Sako, D.","Holtmann, K.","Guenther, F.","Tranzatto, M.","Fankhauser, P.","Hutter, M."],"year":2018,"bibtype":"article","biburl":"https://www.markobjelonic.com//publications/bibliography.bib","bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Bellicoso"],"firstnames":["Carmine","D"],"suffixes":[]},{"propositions":[],"lastnames":["Bjelonic"],"firstnames":["Marko"],"suffixes":[]},{"propositions":[],"lastnames":["Wellhausen"],"firstnames":["Lorenz"],"suffixes":[]},{"propositions":[],"lastnames":["Sako"],"firstnames":["Dhionis"],"suffixes":[]},{"propositions":[],"lastnames":["Holtmann"],"firstnames":["Kai"],"suffixes":[]},{"propositions":[],"lastnames":["Guenther"],"firstnames":["Fabian"],"suffixes":[]},{"propositions":[],"lastnames":["Tranzatto"],"firstnames":["Marco"],"suffixes":[]},{"propositions":[],"lastnames":["Fankhauser"],"firstnames":["Péter"],"suffixes":[]},{"propositions":[],"lastnames":["Hutter"],"firstnames":["Marco"],"suffixes":[]}],"title":"Advances in Real-World Applications for Legged Robots","journal":"Journal of Field Robotics","volume":"35","number":"8","pages":"1311-1326","doi":"10.1002/rob.21839","year":"2018","abstract":"This paper provides insight into the application of the quadrupedal robot ANYmal in outdoor missions of industrial inspection (ARGOS Challenge) and search and rescue (European Robotics League (ERL) Emergency Robots). In both competitions, the legged robot had to autonomously and semi-autonomously navigate in real-world scenarios to complete high-level tasks such as inspection and payload delivery. In the ARGOS competition, ANYmal used a rotating LiDAR sensor to localize on the industrial site and map the terrain and obstacles around the robot. In the ERL competition, additional Real-Time Kinematic (RTK)-Global Positioning System (GPS) was used to co-localize the legged robot with respect to a Micro Aerial Vehicle (MAV) that creates maps from the aerial view. The high mobility of legged robots allows overcoming large obstacles, e.g. steps and stairs, with statically and dynamically stable gaits. Moreover, the versatile machine can adapt its posture for inspection and payload delivery. The paper concludes with insight into the general learnings from the ARGOS and ERL challenges.","keywords":"legged robot, quadrupedal robot, localization, mapping, challenge","url_pdf":"files/2018_jfr_bellicoso.pdf","url_video":"https://youtu.be/qrJlMze_xhQ","url_link":"https://doi.org/10.1002/rob.21839","bibtex":"@article{bellicoso2018advances,\n author = {Bellicoso, Carmine D and\n Bjelonic, Marko and\n Wellhausen, Lorenz and\n Sako, Dhionis and\n Holtmann, Kai and\n Guenther, Fabian and\n Tranzatto, Marco and\n Fankhauser, P{\\'e}ter and\n Hutter, Marco},\n title = {Advances in Real-World Applications for Legged Robots},\n journal = {Journal of Field Robotics},\n volume = {35},\n number = {8},\n pages = {1311-1326},\n doi = {10.1002/rob.21839},\n year = {2018},\n abstract = {This paper provides insight into the application of the\n quadrupedal robot ANYmal in outdoor missions of industrial\n inspection (ARGOS Challenge) and search and rescue (European\n Robotics League (ERL) Emergency Robots). In both competitions,\n the legged robot had to autonomously and semi-autonomously\n navigate in real-world scenarios to complete high-level tasks\n such as inspection and payload delivery. In the ARGOS\n competition, ANYmal used a rotating LiDAR sensor to\n localize on the industrial site and map the terrain and obstacles\n around the robot. In the ERL competition, additional Real-Time\n Kinematic (RTK)-Global Positioning System (GPS) was used to\n co-localize the legged robot with respect to a Micro Aerial\n Vehicle (MAV) that creates maps from the aerial view. The high\n mobility of legged robots allows overcoming large obstacles, e.g.\n steps and stairs, with statically and dynamically stable gaits.\n Moreover, the versatile machine can adapt its posture for\n inspection and payload delivery. The paper concludes with insight\n into the general learnings from the ARGOS and ERL challenges.},\n keywords = {legged robot, quadrupedal robot, localization, mapping,\n challenge},\n url_pdf = {files/2018_jfr_bellicoso.pdf},\n url_video = {https://youtu.be/qrJlMze_xhQ},\n url_link = {https://doi.org/10.1002/rob.21839}\n}\n\n","author_short":["Bellicoso, C. D","Bjelonic, M.","Wellhausen, L.","Sako, D.","Holtmann, K.","Guenther, F.","Tranzatto, M.","Fankhauser, P.","Hutter, M."],"key":"bellicoso2018advances","id":"bellicoso2018advances","bibbaseid":"bellicoso-bjelonic-wellhausen-sako-holtmann-guenther-tranzatto-fankhauser-etal-advancesinrealworldapplicationsforleggedrobots-2018","role":"author","urls":{" pdf":"https://www.markobjelonic.com//publications/files/2018_jfr_bellicoso.pdf"," video":"https://youtu.be/qrJlMze_xhQ"," link":"https://doi.org/10.1002/rob.21839"},"keyword":["legged robot","quadrupedal robot","localization","mapping","challenge"],"metadata":{"authorlinks":{"bjelonic, m":"https://www.markobjelonic.com/publications/","bellicoso, c":"https://dbellicoso.github.io/publications/"}},"downloads":2},"search_terms":["advances","real","world","applications","legged","robots","bellicoso","bjelonic","wellhausen","sako","holtmann","guenther","tranzatto","fankhauser","hutter"],"keywords":["legged robot","quadrupedal robot","localization","mapping","challenge"],"authorIDs":["2Q6kkGpL5s5GtfQhz","2bFC6YssfvNvQ5XTA","3S3JfgacEiDd4ocWx","3thpSWJWGLF2Js3r6","4juMdRomjjtRogjZu","5bc4741c8abdb610000002b2","5c6f390e13f17a10000001cb","5c9d490f85e3371000000161","5de97bc7768c31df01000155","5de9ba0f5b51bcde01000123","5dee3a4d0bde9edf010001b3","5deecdce66e59ade01000019","5df030665d7361de01000114","5df7e6b7dc100cde010001ca","5df8c226e6b510df01000120","5e02122d642c1cdf01000069","5e1511fc88b10dde010000a4","5e177886cf35a4de0100007b","5e23e506075528de01000037","5e26ffe09667abde0100011f","5e2aae6c8319d5de01000024","5e2f391678a7cedf010000d3","5e2f487a78a7cedf0100024e","5e30129c7e0df1de0100005a","5e3016827e0df1de01000096","5e337ffb7a676dee01000078","5e35a3bee5db93df010000aa","5e35d4c576dd53de010000a4","5e3786cd0aa992de01000003","5e385964ccda85de01000155","5e388a04030bcadf01000081","5e42f41aaefe1adf0100000e","5e4e7bff24a828df010001ba","5e4eab8964b624de0100012e","5e5fd7816b32b0f20100020f","5e653226ee6356df01000119","5e65ff0be26b7ade0100011d","5e660cf5fa8a45de010000d8","5e6ab2aff216f6de010001aa","75sDS2vwXg4oM6YcQ","8bYZ3EkFDEvcfC4SZ","8ym64XRycM4F3kFdP","9nf4JncmDPq8eSn3H","ANuzqb6Ad9fmCn4HF","C7Qz4k8zrnLkYqGmj","EJFXFgPyMQHmKSZxG","FBgted7TgztygQzo6","G2LG7To8qvSM97LiZ","J5MzYnbFSACyRYrjo","J65AocPvyKkJSu93J","NXQNRYBpf6dLfxKyv","TFFD5eJGYrWsvkaqR","TsoXd8mjSRajfrod5","WRnTy3dHNXiQe45Yw","ZDWgPYxALJbtaiZBY","aC8ynERizSi3vgxga","bdD9onbYMLft4iw9v","cGBXb29bQfPwYhZER","cHiuaLrSorh7Qngs6","ewYCo2znb3L2JndmA","fBkuAdfQKzMgTLwvy","gdSv6tFppyhTLe3CC","gkwoWq43qK8m6Kusf","hgkiNGga7Dw8AHrez","jrwNt4ai6J3veZ6fy","nEDN2eSyzXnGWXy9M","nnhdBG7JyBGfozdd7","pBmpWCNhaQWRgXFnC","q6AdDmCLeZnkFf7gP","qpCLsbgKQpQasFKYx","rCvdkrtaqpxpsfWyT","rGd9QHCpeQXLibDvL","s29kcP5RFGG8tME4i","sEqiwnrCyM5aG6jif","tAbtZDfxNz3hA7mMF","tTQmzcG4pctrpEMhd","wQpgfRgatF6ZP2QZ4","xCzAjQixdCJ9jHtqm","zn83nxdFSp8dDXcRo"],"dataSources":["SDvvW5t5q7zaELwe8","zxMAQW6E7NWHa4cSY"]}