We present a novel algorithm for estimating the broad 3D geometric structure of outdoor video scenes. Leveraging spatio-temporal video segmentation, we decompose a dynamic scene captured by a video into geometric ...

Clustering is a powerful tool for data classification; however, its application has been limited to analysis of static snapshots of data which may be time-evolving. This work presents a clustering algorithm that employs a ...

Traditionally, robots have been programmed to do precisely what their human operators instruct them to do, but more recently, they have become more sophisticated, intelligent, and autonomous. Once they reach a sufficiently ...

An algorithm is presented for constructing smoothing splines on the torus. The algorithm uses a particular representation of the torus and is suboptimal. However it produces good trajectories and among all possible smoothing ...

Researchers at the Georgia Institute of Technology have demonstrated that the completion time of common excavation tasks is decreased when an operator and an electronic agent share control of the actuator velocity commands. ...

An algorithm for generating communicative, human-like motion for social humanoid robots was developed. Anticipation, exaggeration, and secondary motion were demonstrated as examples of communication. Spatiotemporal ...

Our research focuses on one of the more fundamental issues in multi-agent, mobile robotics: the formation control problem. The idea is to create controllers that cause robots to move into a predefined formation shape. ...

We present a novel algorithm that solves the distributor's pallet packing problem. In contrast to existing algorithms, our method optimizes stack stability in addition to stack volume. Furthermore, our algorithm explicitly ...

Arctic regions are thought to be more sensitive to climate change fluctuations, making weather data from these regions more valuable for climate modeling. Scientists have expressed an interest in deploying a robotic sensor ...

This work presents a new class of algorithms that extend the domain of Navigation Among Movable Obstacles (NAMO) to unknown environments. Efficient real-time algorithms for solving NAMO problems even when no initial ...