Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Huitan Mao"'
Autor:
Jing Xiao, Huitan Mao
Publikováno v:
IEEE Transactions on Robotics. 35:1276-1283
This paper introduces conflict resolution in task-constrained real-time adaptive motion planning (RAMP) to enable a robot manipulator performing tasks in an environment with dynamically unknown obstacles. The method continuously improves and maintain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39a77f34f8795f7d1507bccde776aa43
https://doi.org/10.1109/tro.2019.2924556
https://doi.org/10.1109/tro.2019.2924556
Autor:
Jing Xiao, Huitan Mao
Publikováno v:
ICRA
How to reduce uncertainty in object pose estimation under complex contacts is crucial to autonomous robotic manipulation and assembly. In this paper, we introduce an approach through forecasting contact force from simulated complex contacts with cali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::207c625c84b176678ce4302261f382f1
https://doi.org/10.1109/icra40945.2020.9197190
https://doi.org/10.1109/icra40945.2020.9197190
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030339494
ISER
ISER
It is important to investigate object perception for classification or recognition based on touch sensing, especially when robots are operating in darkness or the objects are difficult to capture by vision sensors. In this work, we present a new form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf8631088980b030a31e7ac38c01673
https://doi.org/10.1007/978-3-030-33950-0_25
https://doi.org/10.1007/978-3-030-33950-0_25
Publikováno v:
IROS
This paper introduces a reinforcement learning algorithm with robot manipulation to learn an arbitrary object’s center of mass whose physical material composition is unknown. Robot learning is through manipulation of the object in a sequence of act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7fca3a548dd67c1bbc80c173e934e2f
https://doi.org/10.1109/iros40897.2019.8967678
https://doi.org/10.1109/iros40897.2019.8967678
Publikováno v:
IROS
We introduce a novel approach to shape-based object classification and recognition through the use of a continuum manipulator. Noticing the fact that when a continuum manipulator wraps around an object in a whole-arm grasping, its own shape is indica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1e762d992e2ab604de355e7e482b48a
https://doi.org/10.1109/iros.2017.8202193
https://doi.org/10.1109/iros.2017.8202193
Publikováno v:
ICRA
It is important to enable a robot to manipulate a target object that has no 3-D model information and is situated in an environment with other unknown objects nearby. This poses an open problem of how to combine perception and manipulation to enable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e5c3fbd282a4b9479ef471b4c877c20
https://doi.org/10.1109/icra.2017.7989667
https://doi.org/10.1109/icra.2017.7989667
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783319501147
ISER
ISER
In this paper, we introduce a method to build 3D object models from RGB-D images automatically by interleaving model building with robotic manipulation. Using a fixed RGB-D camera and starting from the first view of the object, our approach gradually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::179969f8d27055cb96eee79b1cf5a5cd
https://doi.org/10.1007/978-3-319-50115-4_20
https://doi.org/10.1007/978-3-319-50115-4_20
Publikováno v:
2016 IEEE International Symposium on Assembly and Manufacturing (ISAM).
It is a common practice to take advantage of redundancy in a manipulator to avoid obstacles while the end-effector is conducting a task-constrained motion, such as compliant motion for assembly. However, existing approaches rely on increasing the dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62684eab17d16a86f0797318a4e3f627
https://doi.org/10.1109/isam.2016.7750723
https://doi.org/10.1109/isam.2016.7750723