Many estimation, planning, and optimal control problems in robotics have an optimization
problem at their core. In most of these optimization problems, the objective to be maximized …

Change point detection is an important part of time series analysis, as the presence of a
change point indicates an abrupt and significant change in the data generating process …

An important aspect of human perception is anticipation, which we use extensively in our
day-to-day activities when interacting with other humans as well as with our surroundings …

We present a novel Dynamic Bayesian Network for pedestrian path prediction in the
intelligent vehicle domain. The model incorporates the pedestrian situational awareness …

The need for early detection of temporal events from sequential data arises in a wide
spectrum of applications ranging from human-robot interaction to video security. While …

Temporal segmentation of human motion into plausible motion primitives is central to
understanding and building computational models of human motion. Several issues …

Anticipating future situations from streaming sensor data is a key perception challenge for
mobile robotics and automated vehicles. We address the problem of predicting the path of …

We consider the problem of detecting past activities as well as anticipating which activity will
happen in the future and how. We start by modeling the rich spatio-temporal relations …

Automatic video segmentation and action recognition has been a long-standing problem in
computer vision. Much work in the literature treats video segmentation and action …

Many complex dynamical phenomena can be effectively modeled by a system that switches
among a set of conditionally linear dynamical modes. We consider two such models: the …