Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Knepper, Ross"'
We study the problem of learning a robot policy to follow natural language instructions that can be easily extended to reason about new objects. We introduce a few-shot language-conditioned object grounding method trained from augmented reality data
Externí odkaz:
http://arxiv.org/abs/2011.07384
Robots can be used to collect environmental data in regions that are difficult for humans to traverse. However, limitations remain in the size of region that a robot can directly observe per unit time. We introduce a method for selecting a limited nu
Externí odkaz:
http://arxiv.org/abs/2009.01168
Autor:
Kress-Gazit, Hadas, Eder, Kerstin, Hoffman, Guy, Admoni, Henny, Argall, Brenna, Ehlers, Ruediger, Heckman, Christoffer, Jansen, Nils, Knepper, Ross, Křetínský, Jan, Levy-Tzedek, Shelly, Li, Jamy, Murphey, Todd, Riek, Laurel, Sadigh, Dorsa
Robot capabilities are maturing across domains, from self-driving cars, to bipeds and drones. As a result, robots will soon no longer be confined to safety-controlled industrial settings; instead, they will directly interact with the general public.
Externí odkaz:
http://arxiv.org/abs/2006.16732
We propose a joint simulation and real-world learning framework for mapping navigation instructions and raw first-person observations to continuous control. Our model estimates the need for environment exploration, predicts the likelihood of visiting
Externí odkaz:
http://arxiv.org/abs/1910.09664
Autor:
Sankaran, Soham, Knepper, Ross A.
Despite recent major advances in robotics research, massive injections of capital into robotics startups, and significant market appetite for robotic solutions, large-scale real-world deployments of robotic systems remain relatively scarce outside of
Externí odkaz:
http://arxiv.org/abs/1906.06775
Publikováno v:
In Conference on Robot Learning (pp. 505-518) (2018)
We propose an approach for mapping natural language instructions and raw observations to continuous control of a quadcopter drone. Our model predicts interpretable position-visitation distributions indicating where the agent should go during executio
Externí odkaz:
http://arxiv.org/abs/1811.04179
We introduce a method for following high-level navigation instructions by mapping directly from images, instructions and pose estimates to continuous low-level velocity commands for real-time control. The Grounded Semantic Mapping Network (GSMN) is a
Externí odkaz:
http://arxiv.org/abs/1806.00047
User interfaces provide an interactive window between physical and virtual environments. A new concept in the field of human-computer interaction is a soft user interface; a compliant surface that facilitates touch interaction through deformation. De
Externí odkaz:
http://arxiv.org/abs/1706.02542
Autor:
KRESS-GAZIT, HADAS, EDER, KERSTIN, HOFFMAN, GUY, ADMONI, HENNY, ARGALL, BRENNA, EHLERS, RÜDIGER, HECKMAN, CHRISTOFFER, JANSEN, NILS, KNEPPER, ROSS, KŘETÍNSKÝ, JAN, LEVY-TZEDEK, SHELLY, LI, JAMY, MURPHEY, TODD, RIEK, LAUREL, SADIGH, DORSA
Publikováno v:
Communications of the ACM; Sep2021, Vol. 64 Issue 9, p78-84, 7p, 2 Color Photographs
Autor:
Knepper, Ross A
Publikováno v:
Dissertations.
Robotic motion planning aspires to match the ease and efficiency with which humans move through and interact with their environment. Yet state of the art robotic planners fall short of human abilities; they are slower in computation, and the results