Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation
| العنوان: | Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation |
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| المؤلفون: | Parker Ewen, Wei-Chun Lu, Jean-Pierre Sleiman, Marco Hutter, Yuxin Chen, Ram Vasudevan |
| المصدر: | ICRA 2021 IEEE International Conference on Robotics and Automation (ICRA) arXiv |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, Computer science, Dynamics (mechanics), Mobile manipulation, Legged Robotics, Stability (learning theory), Control engineering, Torso, Motion (physics), Variety (cybernetics), Contact force, Computer Science - Robotics, medicine.anatomical_structure, medicine, Robot, State (computer science), Robotics (cs.RO) |
| الوصف: | Manipulators can be added to legged robots, allowing them to interact with and change their environment. Legged mobile manipulation planners must consider how contact forces generated by these manipulators affect the system. Current planning strategies either treat these forces as immutable during planning or are unable to optimize over these contact forces while operating in real time. This paper presents the Stability and Task Oriented Receding-Horizon Motion and Manipulation Autonomous Planner (STORMMAP) that is able to generate continuous plans for the robot’s motion and manipulation force trajectories that ensure dynamic feasibility and stability of the platform, and incentivizes accomplishing manipulation and motion tasks specified by a user. STORMMAP uses a nonlinear optimization problem to compute these plans and is able to run in real-time by assuming contact locations are given a-priori, either by a user or an external algorithm. A variety of simulated experiments on a quadruped with a manipulator mounted to its torso demonstrate the versatility of STORMMAP. In contrast to existing state of the art methods, the approach described in this paper generates continuous plans in under ten milliseconds, an order of magnitude faster than previous strategies. 2021 IEEE International Conference on Robotics and Automation (ICRA) ISBN:978-1-7281-9077-8 ISBN:978-1-7281-9078-5 |
| وصف الملف: | application/application/pdf |
| اللغة: | English |
| ردمك: | 978-1-72819-077-8 978-1-72819-078-5 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ad06ee93a4f923681982e3e15840464 http://arxiv.org/abs/2104.11685 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....0ad06ee93a4f923681982e3e15840464 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9781728190778 9781728190785 |
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