Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rod Grupen"'
Autor:
Justin Svegliato, Shlomo Zilberstein, Samer B. Nashed, Rod Grupen, Connor Basich, Matteo Brucato
Publikováno v:
ICRA
Autonomous systems often use approximate planners that exploit state abstractions to solve large MDPs in real-time decision-making problems. However, these planners can eliminate details needed to produce effective behavior in autonomous systems. We
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030339494
ISER
ISER
We introduce a framework where visual features, describing the interaction among a robot hand, a tool, and an assembly fixture, can be learned efficiently using a small number of demonstrations. We illustrate the approach by torquing a bolt with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e261695ed7089d9a1010ef7fd6aee872
https://doi.org/10.1007/978-3-030-33950-0_35
https://doi.org/10.1007/978-3-030-33950-0_35
Publikováno v:
IROS
In this work, we introduce a framework for performing dexterous manipulations on the humanoid robot Robonaut-2. This framework memorizes how actions change perceptions and can learn a sequence of actions based on demonstrations. With the anthropomorp
Publikováno v:
UV
The literature of communication theory suggests that people tend to interact with interactive artifacts as if these were human. For decades, this understanding has been applied to designing computer embedded devices at small physical scale (i.e. obje
Publikováno v:
ICRA
We propose an intelligent visuomotor system that interacts with the environment and memorizes the consequences of actions. As more memories are recorded and more interactions are observed, the agent becomes more capable of predicting the consequences
Publikováno v:
IROS
In this work, we provide a solution for posturing the anthropomorphic Robonaut-2 hand and arm for grasping based on visual information. A mapping from visual features extracted from a convolutional neural network (CNN) to grasp points is learned. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64ab71b2694c5254a9a7d53cb40aa108
http://arxiv.org/abs/1609.03947
http://arxiv.org/abs/1609.03947
This paper presents progress towards a research infrastructure for studying human-robot performance in laboratory emergency response scenarios and a preliminary dataset. It incorporates an emergency response team that is composed of a human participa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047d56072d86583155e6fd3971b509c0
https://doi.org/10.21236/ada613267
https://doi.org/10.21236/ada613267
Publikováno v:
IEEE Intelligent Systems. 15:70-77
Humanoid robots promise to lead us toward more effective and informative interactions between humans and robotic devices. The authors introduce mechanisms for attention control and pattern categorization as the basis for cognition in a humanoid robot
Publikováno v:
Humanoids
Autonomous robots demand complex behavior to perform tasks in unstructured environments. In order to meet these expectations efficiently, it is necessary to organize knowledge of past interactions with the world in order to facilitate future tasks. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d0c9f857036c137db5dd4a6fe17fff2
https://zenodo.org/record/1269365
https://zenodo.org/record/1269365
Autor:
Shichao Ou, Rod Grupen
Publikováno v:
Proceeding of the 5th ACM/IEEE international conference on Human-robot interaction - HRI '10.