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In order for robots to effectively understand natural language commands, they must be able to acquire meaning representations that can be mapped to perceptual features in the external world. Previous approaches to learning these grounded meaning representations require detailed annotations at training time. In this paper, we present an approach to grounded(More)
Our goal is to improve the efficiency and effectiveness of natural language communication between humans and robots. Human language is frequently ambiguous, and a robot's limited sensing makes complete understanding of a statement even more difficult. To address these challenges, we describe an approach for enabling a robot to engage in clarifying dialog(More)
—Our goal is to build robots that can robustly interact with humans using natural language. This problem is challenging because human language is filled with ambiguity, and furthermore, due to limitations in sensing, the robot's perception of its environment might be much more limited than that of its human partner. To enable a robot to recover from a(More)
When designing a distributed network protocol, typically it is infeasible to fully define the target network where the protocol is intended to be used. It is therefore natural to ask: How faithfully do protocol designers really need to understand the networks they design for? What are the important signals that endpoints should listen to? How can(More)
Recent work has shown that computer-synthesized TCP congestion control protocols can outperform the state of the art. However, these protocols are generally too complex to reason about. Human engineers therefore might not trust them enough to deploy them in real networks. This thesis presents two contributions toward the practical deployment of(More)
Heart rate and blood lactate response to short intermittent work at race pace in highly trained swimmers L. 1989 Prevalence of diabetes in a predominately Asian community: preliminary findings of the Coventry diabetes study 1990 Platelet concentrates irradiated with ultraviolet light retain satisfactory in vitro storage characteristics and in vivo survival.(More)
The second moment method is the study of the use of variance, and in particular Chebyshev's inequality. It can be used to show that when the expected value of a nonnegative random variable is large compared to its variance, it takes on the value zero with probability approaching zero. Or, said differently, it can be used to show that a random variable has a(More)
In order for robots to effectively understand natural language commands, they must be able to acquire a large vocabulary of meaning representations that can be mapped to perceptual features in the external world. Previous approaches to learning these grounded meaning representations require detailed annotations at training time. In this paper, we present an(More)
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