Abstract— We present a novel vision-based grasp point detection algorithm that can reliably detect the corners of a piece of cloth, using only geometric cues that are robust to v...
Jeremy Maitin-Shepard, Marco Cusumano-Towner, Jinn...
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
— We present the design and implementation of a real-time vision-based approach to detect and track features in a structured environment using an autonomous helicopter. Using vis...
Srikanth Saripalli, Gaurav S. Sukhatme, Luis Mej&i...
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...