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pro vyhledávání: '"Barrett Ames"'
Inverse kinematics - finding joint poses that reach a given Cartesian-space end-effector pose - is a common operation in robotics, since goals and waypoints are typically defined in Cartesian space, but robots must be controlled in joint space. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45c54c6b304e009ff5ace252e4879ce
http://arxiv.org/abs/2111.08933
http://arxiv.org/abs/2111.08933
Autor:
Barrett Ames, George Konidaris
Publikováno v:
IROS
We present a feedback motion planning algorithm, Bounded-Error LQR-Trees, that leverages reinforcement learning theory to find a policy with a bounded amount of error. The algorithm composes locally valid linear-quadratic regulators (LQR) into a nonl
Publikováno v:
IROS
A critical capability required for generally intelligent robot behavior is the ability to sequence motor skills to reach a goal. This requires a (typically abstract) representation that supports goal-directed planning, which raises the question of ho
Autor:
Robert O. Ambrose, Heather Bibby, Michael Conover, Barrett Ames, Jide Akinyode, Chad Tobler, Brian J. Wightman, Lily Truong, Ryan W. Sinnet, Adam H. Tulsa Parsons, Jordan Lack, Aaron D. Ames, Chien-Liang Fok, Lyndon Bridgwater, Andrew G. Lee, Charles Blakely, Christopher McQuin, Ryan Reed, Raymond Guo, Nicholas Paine, Rochelle Rea, Mason M. Markee, Reginald B. Berka, Brett Sommers, Gwendolyn Johnson, Matthew J. Powell, Nicolaus A. Radford, Kimberly Hambuchen, David Chesney, Philip A. Strawser, Benjamin J. Morris, Robert W. Platt, Courtney Edmondson, Brice Howard, Joshua S. Mehling, A. Stuart Donnan, Nathan Fraser-Chanpong, John D. Yamokoski, Luis Sentis, Stephen Hart, Eric A. Cousineau, William K. Verdeyen, Lei Niu, Jairo Sanchez, James Holley, Paul Dinh, Vienny Nguyen
Publikováno v:
Journal of Field Robotics. 32:397-419
In December 2013, 16 teams from around the world gathered at Homestead Speedway near Miami, FL to participate in the DARPA Robotics Challenge DRC Trials, an aggressive robotics competition partly inspired by the aftermath of the Fukushima Daiichi rea
Publikováno v:
ICRA
Despite increasing popularity of compliant and underactuated hands, few tools are available for modeling them. Thus, we propose a simulation technique to predict the success of a compliant gripper grasping irregular objects, which could be used in me