Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chaitanya Mitash"'
Autor:
Chaitanya Mitash, Baber Khalid, Malihe Alikhani, Kostas E. Bekris, Matthew Stone, Rahul Shome
Publikováno v:
AAAI
Collaborative robotics requires effective communication between a robot and a human partner. This work proposes a set of interpretive principles for how a robotic arm can use pointing actions to communicate task information to people by extending exi
Publikováno v:
The International Journal of Robotics Research. 41:615-636
This paper focuses on vision-based pose estimation for multiple rigid objects placed in clutter, especially in cases involving occlusions and objects resting on each other. Progress has been achieved recently in object recognition given advancements
Publikováno v:
IROS
Tracking the 6D pose of objects in video sequences is important for robot manipulation. This task, however, introduces multiple challenges: (i) robot manipulation involves significant occlusions; (ii) data and annotations are troublesome and difficul
Recent progress in robotic manipulation has dealt with the case of previously unknown objects in the context of relatively simple tasks, such as bin-picking. Existing methods for more constrained problems, however, such as deliberate placement in a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfa7c5ca5141753e4a5a4c782ef9a2d2
http://arxiv.org/abs/2006.15503
http://arxiv.org/abs/2006.15503
Publikováno v:
ICRA
Web of Science
Web of Science
Many manipulation tasks, such as placement or within-hand manipulation, require the object's pose relative to a robot hand. The task is difficult when the hand significantly occludes the object. It is especially hard for adaptive hands, for which it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f90ba0c31222beca1fd086a37b0d7906
http://arxiv.org/abs/2003.03518
http://arxiv.org/abs/2003.03518
Publikováno v:
IROS
Picking an item in the presence of other objects can be challenging as it involves occlusions and partial views. Given object models, one approach is to perform object pose estimation and use the most likely candidate pose per object to pick the targ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49eb5cbfb2f4a1185e9b3bb370a22992
Autor:
Abdeslam Boularias, Chaitanya Mitash, Hristiyan Kourtev, Changkyu Song, Jingjin Yu, Wei N. Tang, Rahul Shome, Kostas E. Bekris
Publikováno v:
ICRA
Advances in sensor technologies, object detection algorithms, planning frameworks and hardware designs have motivated the deployment of robots in warehouse automation. A variety of such applications, like order fulfillment or packing tasks, require p
Publikováno v:
ICRA
Accurate pose estimation is often a requirement for robust robotic grasping and manipulation of objects placed in cluttered, tight environments, such as a shelf with multiple objects. When deep learning approaches are employed to perform this task, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4586286e762f6527a92fccbfa2fc375c
http://arxiv.org/abs/1806.06888
http://arxiv.org/abs/1806.06888
Publikováno v:
IROS
Progress has been achieved recently in object detection given advancements in deep learning. Nevertheless, such tools typically require a large amount of training data and significant manual effort to label objects. This limits their applicability in
Publikováno v:
ICRA
This work proposes a process for efficiently searching over combinations of individual object 6D pose hypotheses in cluttered scenes, especially in cases involving occlusions and objects resting on each other. The initial set of candidate object pose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58f06e784d723cd934091de8460a5df9