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Footstep Planning For The Honda ASIMO Humanoid.pdf

 
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Footstep Planning For The Honda ASIMO Humanoid.pdf
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Footstep Planning For The Honda ASIMO Humanoid.pdf > urlin.us/24qq7






















































Footstep Planning For The Honda ASIMO Humanoid.pdf


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Using a finite set of state-dependent actions, we use an A* search to compute optimal sequences of footstep locations up to a time-limited planning horizon. Different scenarios were applied, where they varied robots start and goal positions. One of the most advanced contemporary humanoid robots ASIMO has been developed since 1980s. We present a footstep planner for the Honda ASIMO humanoid robot that plans a sequence of footstep positions to navigate toward a goal location while avoiding obstacles. ICRA 2005.", publisher = "IEEE Press", } RISTY - CHAPT1 - Footstep planning for the Honda ASIMO humanoidAU - Chestnutt,JoelAU - Lau,ManfredAU - Cheung,GermanAU - Kuffner,JamesAU - Hodgins,JessicaAU - Kanade,TakeoPY - 2005/9Y1 - 2005/9N2 - Despite the recent achievements in stable dynamic walking for many humanoid robots, relatively little navigation autonomy has been achieved. Chestnutt ;The Robotics Institute Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA, 15213, USA; chestnuttcs.cmu.edu ; M. ICRA 2005.

/ Chestnutt, Joel; Lau, Manfred; Cheung, German; Kuffner, James; Hodgins, Jessica; Kanade, Takeo. By Topic Aerospace Bioengineering Communication, Networking & Broadcasting Components, Circuits, Devices & Systems Computing & Processing Engineered Materials, Dielectrics & Plasmas Engineering Profession Fields, Waves & Electromagnetics General Topics for Engineers Geoscience Nuclear Engineering Photonics & Electro-Optics Power, Energy, & Industry Applications Robotics & Control Systems Signal Processing & Analysis Transportation . Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005. Footstep planning for the Honda ASIMO humanoid. Using a finite set of state-dependent actions, we use an A* search to compute optimal sequences of footstep locations up to a time-limited planning horizon. Already Purchased? View Article Subscription Options Learn More 6 Author(s) J. In Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005.

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