Abstract— We present successful control strategies for dynamically stable robots that avoid low ceilings and other vertical obstacles in a manner similar to limbo dances. Given t...
We present Oracle-Based Partial Evaluation (OBPE), a novel approach to on-line Partial Evaluation (PE) which decides the control strategy to use for each call pattern by using an ...
This paper introduces a simple yete ective method for using causal domain knowledge for learning to control dynamic systems. Elementary qualitative causal dependencies of the domai...
Bipedal robots are di cult to analyze mathematically. However, successful control strategies can be discovered using simple physical intuition and can be described in simple terms...
ct This paper willpresent the resultsof a comparative study of a set of vision-based control strategies that have been applied to the problem of steering an autonomous vehicle alon...
Jana Kosecka, Robert Blasi, Camillo J. Taylor, Jit...
This article concerns red-light running at intersections and deals with the impact of different types of control strategies. Red running occurrences at red onset are observed throu...
Increasing user comfort and reducing operation costs have always been two primary objectives of building operations and control strategies. Current building control strategies are...
Vipul Singhvi, Andreas Krause, Carlos Guestrin, Ja...
Abstract— We aim at developing autonomous microflyers capable of navigating within houses or small built environments. The severe weight and energy constraints of indoor flying...
Poly-Controlled Partial Evaluation (PCPE) is a powerful approach to partial evaluation, which has recently been proposed. PCPE takes into account sets of control strategies instea...
This paper focuses on the design of control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one criterion. ...