While most previous work in planning manipulation tasks relies on the assumption of quasi-static conditions, there can be situations where the quasi-static assumption may not hold...
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
Rawichote Chalodhorn, David B. Grimes, Keith Groch...
Power and performance benefits of scaling are lost to worst case margins as uncertainty of device characteristics is increasing. Adaptive techniques can dynamically adjust the mar...
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
In this paper, we present a scalable fully distributed version of a Mobile Backbone Network Topology Synthesis Algorithm (MBN-TSA) for constructing and maintaining a dynamic backb...