— In this paper we develop an RRT-based motion planner that achieved bounding in simulation with the LittleDog robot over extremely rough terrain. LittleDog is a quadruped robot ...
Alexander C. Shkolnik, Michael Levashov, Ian R. Ma...
Abstract. In this work we present an assessment of state-of-the-art Boolean optimization solvers from different AI communities on over-subscription planning problems. The goal of t...
Optimization of join queries based on average selectivities is suboptimal in highly correlated databases. In such databases, relations are naturally divided into partitions, each ...
Kostas Tzoumas, Amol Deshpande, Christian S. Jense...
— Motion planning for robots with many degrees of freedom (DoF) is a generally unsolved problem in the robotics context. In this work an approach for trajectory planning is prese...
Niko Vahrenkamp, Christian Scheurer, Tamim Asfour,...
This paper describes a multi-layered hierarchical motion planning strategy for a class of self-reconfigurable modular robotic systems, I-Cubes. The approach is based on the synthe...