Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Russell Toris"'
Autor:
David Kent, Russell Toris
Publikováno v:
IROS
Autonomous grasp selection for robot pick-and-place applications makes use of either empirical methods leveraging object databases, which generate grasps for specific objects at the initial cost of modeling effort, or analytical methods, which genera
Autor:
Russell Toris, Sonia Chernova
Publikováno v:
ICRA
We present a novel solution to the object search problem for domains in which object permanence cannot be assumed and other agents may move objects between locations without the robot's knowledge. We formalize object search as a failure analysis prob
Publikováno v:
IEEE Robotics & Automation Magazine. 19:20-23
Publikováno v:
International Journal of Social Robotics. 4:319-330
Research on robot Learning from Demonstration has seen significant growth in recent years, but the field has had only limited evaluation of existing algorithms with respect to algorithm usability by naive users. In this article we present findings fr
Autor:
Sarah Osentoski, Mitchell Wills, Jihoon Lee, Russell Toris, Sonia Chernova, Odest Chadwicke Jenkins, Julius Kammerl, David V. Lu
Publikováno v:
IROS
Since its official introduction in 2012, the Robot Web Tools project has grown tremendously as an open-source community, enabling new levels of interoperability and portability across heterogeneous robot systems, devices, and front-end user interface
Publikováno v:
ICRA
In order for robots to be useful in real world learning scenarios, non-expert human teachers must be able to interact with and teach robots in an intuitive manner. One essential robot capability is wide-area (mobile or nonstationary) pick-and-place t
Publikováno v:
TePRA
Recent work in the robotics community has lead to the emergence of cloud-based solutions and remote clients. Such work allows robots to effectively distribute complex computations across multiple machines, and allows remote clients, both human and au
Publikováno v:
HRI
Research on robot learning from demonstration has seen significant growth in recent years, but existing evaluations have focused exclusively on algorithmic performance and not on usability factors, especially with respect to naive users. Here we pres
Publikováno v:
Journal of Human-Robot Interaction. 3:25