142 citations · 712 across the 76 of their papers we have counts for
10 papers · 1 filter
Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps
Igor Gilitschenski, Guy Rosman, Arjun Gupta +2
In this paper, we propose a novel approach for agent motion prediction in cluttered environments. One of the main challenges in predicting agent motion is accounting for location a…
A Theory of Uncertainty Variables for State Estimation and Inference
Rajat Talak, Sertac Karaman, Eytan Modiano
We develop a new framework of uncertainty variables to model uncertainty. An uncertainty variable is characterized by an uncertainty set, in which its realization is bound to lie,…
Stochastic Dynamic Games in Belief Space
Wilko Schwarting, Alyssa Pierson, Sertac Karaman +1
Information gathering while interacting with other agents under sensing and motion uncertainty is critical in domains such as driving, service robots, racing, or surveillance. The…
Multi-resolution Low-rank Tensor Formats
Oscar Mickelin, Sertac Karaman
We describe a simple, black-box compression format for tensors with a multiscale structure. By representing the tensor as a sum of compressed tensors defined on increasingly coarse…
Optimal orthogonal approximations to symmetric tensors cannot always be chosen symmetric
Oscar Mickelin, Sertac Karaman
We study the problem of finding orthogonal low-rank approximations of symmetric tensors. In the case of matrices, the approximation is a truncated singular value decomposition whic…
FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping
Zhengdong Zhang, Trevor Henderson, Sertac Karaman +1
Exploration tasks are embedded in many robotics applications, such as search and rescue and space exploration. Information-based exploration algorithms aim to find the most informa…