Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Albert H. Li"'
Publikováno v:
ICRA
This paper presents replay overshooting (RO), an algorithm that uses properties of the extended Kalman filter (EKF) to learn nonlinear stochastic latent dynamics models suitable for long-horizon prediction. We build upon overshooting methods used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a83e2423b8e21c7ca8cb8f20121d51ca
https://doi.org/10.1109/icra48506.2021.9560811
https://doi.org/10.1109/icra48506.2021.9560811
Autor:
Bike Zhang, Prasanth Kotaru, Mark W. Mueller, Koushil Sreenath, Katherine L. Poggensee, Albert H. Li, Daniel Sotsaikich
Publikováno v:
ECC
The increasing integration of robots in daily life necessitates research in multitasking strategies. The act of juggling offers a simple platform to test techniques which may be generalizable to more complex tasks and systems. This paper presents bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50af823953021f54dda642fde6f2237d
https://doi.org/10.23919/ecc51009.2020.9143967
https://doi.org/10.23919/ecc51009.2020.9143967
Publikováno v:
ICRA
Vacuum-based end effectors are widely used in industry and are often preferred over parallel-jaw and multifinger grippers due to their ability to lift objects with a single point of contact. Suction grasp planners often target planar surfaces on poin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::698192dd7bac961ec803f409beb62677
https://doi.org/10.1109/icra.2018.8460887
https://doi.org/10.1109/icra.2018.8460887
Autor:
Albert H. Li, Andrew P. Sabelhaus, Jacob R. Madden, Kimberly A. Sover, Alice M. Agogino, Adrian K. Agogino, Andrew R. Barkan
Robots built from cable-driven tensegrity (`tension-integrity') structures have many of the advantages of soft robots, such as flexibility and robustness, while still obeying simple statics and dynamics models. However, existing tensegrity modeling a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d9fc7eb649c0a000407e2c1fce0a01e
