EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures

地形 计算机科学 机器人 人工智能 模拟 计算机视觉 生态学 生物
作者
Rohan Thakker,Michael Paton,Marlin P. Strub,Michael Swan,Guglielmo Daddi,Rob Royce,Patrizia Tosi,Matthew Gildner,Tiago Vaquero,Marcel Veismann,Peter V. Gavrilov,E. Marteau,Joseph Bowkett,Daniel Loret,Yashwanth Kumar Nakka,Benjamin Hockman,Andrew L. Orekhov,Tristan Hasseler,Carl Leake,Benjamin Nuernberger,Pedro F. Proença,William T. Reid,William Henry Fox Talbot,Nikola Georgiev,Torkom Pailevanian,Avak Archanian,Eric Ambrose,Jay Jasper,Rachel Etheredge,Christiahn Roman,Daniel S. Levine,Kyohei Otsu,Hovhannes Melikyan,Jeremy Nash,Richard Rieber,Kalind Carpenter,Abhinandan Jain,Lori Shiraishi,D. Pastor,Sarah Yearicks,Michel D. Ingham,Matthew L. Robinson,Ali‐akbar Agha‐mohammadi,Matthew Travers,Howie Choset,Joel W. Burdick,Masahiro Ono
标识
DOI:10.1109/iros55552.2023.10341448
摘要

The discovery of ocean worlds such as Enceladus, Titan, and Europa motivates the development of versatile autonomous mobility systems to enable the next era of space exploration where there is large uncertainty in terrain specifications due to a lack of prior surface reconnaissance missions. To explore these environments, we propose Exobiology Extant Life Surveyor (EELS): the first large-scale (4 lm long with 400 Nm peak torque) snake robot. The large scale is achieved by using a screw-based active skin mechanism to decouple motion and shape control. Autonomous mobility for such a system remains an open problem due to its many Degrees of Freedom (DoFs), complex terrain interactions, and intermittent localization failures in GPS-denied perceptually degraded environments due to the presence of fog, dust, featureless terrains, etc. We propose NEO, an autonomy architecture that scales to large DoFs to generate a versatile set of gaits to achieve mobility in unknown extreme environments. We also discuss the resilience capabilities of NEO that achieves closed-loop tracking performance by leveraging exteroception when available but can also operate with proprioception only, leading to resiliency against localization failures via graceful degradation in performance rather than unsafe behaviors. A quantitative hardware evaluation of exteroceptive leader-follower gait is performed indoors on synthetic ice along with qualitative results of field deployment of the proprioceptive leader-follower and sidewinding gaits in extreme environments of icy and sandy terrains with mobility-stressing elements such as trenches, undulations, and steep slopes (up to 35 degrees). We present a set of lessons learned from field deployments with a summary of challenges and open research problems. Video: www.rohanthakker.in/eels-neo-autonomy.html
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