This paper discusses a novel approach to combining human and machine intelligence in teleoperation of 6 degree of freedom (DOF) arm manipulators. Two algorithms are presented that...
We observe increasing interest in aggregating geographically distributed, heterogeneous resources to perform large scale computations. MPI remains the most popular programming par...
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...